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Build a Text Summarizer in Java
 
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Get the Code here : https://github.com/ajhalthor/text-summarizer Follow me on Twitter : https://twitter.com/ajhalthor Take a look at the original by Shlomi Babluki : http://thetokenizer.com/2013/04/28/build-your-own-summary-tool/ TRANSCRIPT OVERVIEW ALGORITHM 1. Take the full CONTENT and split it into PARAGRAPHS. 2. Split each PARAGRAPH into SENTENCES. 3. Compare every sentence with every other. This is done by Counting the number of common words and then Normalize this by dividing by average number of words per sentence. 4. These intermediate scores/values are stored in an INTERSECTION matrix 5. Create the key-value dictionary - Key : Sentence - Value : Sum of intersection values with this sentence 6. From every paragraph, extract the sentences with the highest score. 7. Sort the selected sentences in order of appearance in the original text to preserve content and meaning. And like that, you have generated a summary of the original text. CLASSES IN JAVA PROJECT 1. Sentence : The entire text is divided into a number of paragraphs and each paragraph is divided into a number of sentences. 2. Paragraph : Every paragraph has a number associated with it and an Array List of sentences. 3. Sentence Comparitor : Compare Sentence objects based on Score 4. SentenceComparatorForSummary : Compare Sentence objects based on position in text. 5. SummayTool : akes care of all the operations from extracting sentences to generating the summary. HOW IS MY SUMMARIZER BETTER THAN THE ORIGINAL ? My text summarizer selects number of sentences from a paragraph depending on the length. This is an improvement over the original text summarizer implementation that only selects 1 sentence per paragraph regardless of length. So, If the author decides to crunch everything into 1 paragraph, then only one sentence would be chosen. In the current implementation, we set it to accept several sentences for larger paragraphs. It delivers cogent summaries for general essays, reviews and publications. RUN THIS PROGRAM $ javac -d bin improved_summary.java $ java -classpath bin improved_summary
Views: 6369 CodeEmporium
Getting Started with Natural Language Processing in Java : Simple Java Tokenizers | packtpub.com
 
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This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and code, visit [http://bit.ly/2xhnAS7]. The aim of this video is to demonstrate core Java tokenizers. • Learn to use the Scanner class to tokenize text • Learn how to use the BreakIterator class for tokenization • Learn how to use the StringTokenizer For the latest Big Data and Business Intelligence video tutorials, please visit http://bit.ly/1HCjJik Find us on Facebook -- http://www.facebook.com/Packtvideo Follow us on Twitter - http://www.twitter.com/packtvideo
Views: 5097 Packt Video
5.1: Intro to Week 5: Text Analysis and Word Counting - Programming with Text
 
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Week 5 of Programming from A to Z focuses on about text-analysis and word counting. In this introduction, I discuss different how word counting and text analysis can be used in a creative coding context. I give an overview of the topics I will cover in this series of videos. Next Video: https://youtu.be/_5jdE6RKxVk http://shiffman.net/a2z/text-analysis/ Course url: http://shiffman.net/a2z/ Support this channel on Patreon: https://patreon.com/codingtrain Send me your questions and coding challenges!: https://github.com/CodingTrain/Rainbow-Topics Contact: https://twitter.com/shiffman GitHub Repo with all the info for Programming from A to Z: https://github.com/shiffman/A2Z-F16 Links discussed in this video: Rune Madsen's Programming Design Systems: http://printingcode.runemadsen.com/ Concordance on Wikipedia: https://en.wikipedia.org/wiki/Concordance_(publishing) Rune Madsen's Speech Comparison: https://runemadsen.com/work/speech-comparison/ Sarah Groff Hennigh-Palermo's Book Book: http://www.sarahgp.com/projects/book-book.html Stephanie Posavec: http://www.stefanieposavec.co.uk/ James W. Pennebaker's The Secret Life of Pronouns: http://www.secretlifeofpronouns.com/ James W. Pennebaker's TedTalk: https://youtu.be/PGsQwAu3PzU ITP from Tisch School of the Arts: https://tisch.nyu.edu/itp Source Code for the all Video Lessons: https://github.com/CodingTrain/Rainbow-Code p5.js: https://p5js.org/ Processing: https://processing.org For More Programming from A to Z videos: https://www.youtube.com/user/shiffman/playlists?shelf_id=11&view=50&sort=dd For More Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH Help us caption & translate this video! http://amara.org/v/WuMg/
Views: 15487 The Coding Train
Naive Bayes w/ JAVA - Tutorial 01
 
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Website + download source code @ http://www.zaneacademy.com
Views: 5083 zaneacademy
Kmeans Clustering Solved Example with Java Code
 
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Link for example file: https://drive.google.com/open?id=0B8CebiqB_IUoQ1JwWV92WVY5Ync Link for Java Code: https://drive.google.com/open?id=0B8CebiqB_IUoUmFTWmN5TFNqbE0 If you find any problem do comment below i ll help you out.
Views: 9661 AVINASH YADAV
Formatting Text Output (Java)
 
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This program shows you how to read text from a file, process it, and output values in a formatted table.
Views: 2051 Such Code
Java Tutorials - Data mining - part 1/3
 
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How to mine data from a website? How to programatically submit forms? How to process the output? How to keep session? How to work with cookies? I'm trying to answer all of these in this three part tutorial. PARTS: Java Tutorials - Data mining - part 1/3 https://www.youtube.com/watch?v=Lm9iDtQJAxM Java Tutorials - Data mining - part 2/3 https://www.youtube.com/watch?v=mlmgNWKCevE Java Tutorials - Data mining - part 3/3 https://www.youtube.com/watch?v=a-1SggM9ci8
Views: 12655 Leny the serf
Building a Blockchain in Under 15 Minutes - Programmer explains
 
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I wanted to demonstrate that the concept of a blockchain that powers almost all of the modern cryptocurrencies is very simple at its core. Bitcoin, Ethereum, Litecoin etc all are based on this blockchain technology. Many people think that the blockchain is a complicated thing while at it's core its just a clever use case of hashes. Enjoy guys! CODE: https://github.com/ivan-liljeqvist/SimpleBlockchain JOIN MY EXCLUSIVE MAILING LIST FOR EVEN MORE BLOCKCHAIN KNOWLEDGE: http://eepurl.com/c0hyc9 ESSENTIAL CRYPTO RESOURCES Hardware wallets: ♥ TREZOR https://trezor.io ♥ LEDGER NANO S https://www.ledgerwallet.com/r/4607 To buy cryptocurrencies: ♥ Coinbase https://www.coinbase.com/join/529bab0ab08ded7080000019 JOIN SLACK COMMUNITY http://slack-invite-ivan-on-tech.herokuapp.com https://steemit.com/@ivanli
Views: 373352 Ivan on Tech
Getting Started with Natural Lang Processing in Java : Extracting Text from Web Page | packtpub.com
 
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This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and code, visit [http://bit.ly/2xhnAS7]. The aim of this video is to demonstrate how text can be extracted from a web page. • Learn how to extract basic information from a web page • Extract text from the body of a web page • Access links and images found in a web page For the latest Big Data and Business Intelligence video tutorials, please visit http://bit.ly/1HCjJik Find us on Facebook -- http://www.facebook.com/Packtvideo Follow us on Twitter - http://www.twitter.com/packtvideo
Views: 136 Packt Video
Cosine Similarity and IDF Modified Cosine Similarity
 
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This video tutorial explains the cosine similarity and IDF-Modified cosine similarity with very simple examples (related to Text-Mining/IR/NLP). It also demonstrates the Java implementation of cosine similarity. The source code can be downloaded from:- 1. Cosine similarity: https://sites.google.com/site/nirajatweb/home/technical_and_coding_stuff/cosine_similarity 2. IDF-Modified cosine similarity: https://sites.google.com/site/nirajatweb/home/technical_and_coding_stuff/idf_modified_cosine_similarity
Views: 8754 Dr. Niraj Kumar
Naive Bayes  w/ JAVA (Tutorial 02) - Sentiment Classification + Laplace Smoothing + Handle Underflow
 
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Website + download source code @ http://www.zaneacademy.com
Views: 2825 zaneacademy
Weka classifier from Java
 
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Final proyect, using classifier on diabetes dataset. Authors: Oyervide Jonnathan & Poveda Adrian
Views: 4925 Adrian Poveda
Deeplearning4j in Java vs. KNIME Analytics Platform
 
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Iris Flower Classification using Deeplearning4j in Java code, then replicating the same steps in the KNIME Analytics Platform with Deeplearning4j integration. The example is a rewriting of an existing code taken from the Examples that are bundled with Deeplearning4j. Code can be viewed at http://bit.ly/2oTd3p5 The video demonstrates how the KNIME Analytics Platform reduces the labor (coding) work for Data Scientists.
Views: 1318 Adel Ahmed
Extract Structured Data from unstructured Text (Text Mining Using R)
 
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A very basic example: convert unstructured data from text files to structured analyzable format.
Views: 10953 Stat Pharm
JAVA JDBC Tutorial 4- Modification of java code for retrieving data from database
 
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https://www.facebook.com/arshathshameer MyBlog : https://thenewbosten.blogspot.com/
Views: 3332 Techies Coding Arena
Text Analyzer
 
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This video demonstrates the use of while loops to analyze characters in a string, the StringTokenizer with a while loop to evaluate words (tokens) in a string, and the use of boolean flags. *** NOTE: YOU SHOULD USE THE Scanner AS DESCRIBED ON THE LAB HANDOUT INSTEAD OF THE StringTokenizer. ***
Views: 1220 Laurie Murphy
How to get data from twitter using java
 
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Helps you to get data from twitter using twitterAPI
Views: 46558 Atik khan
Text Mining Project Topics | Text Mining Thesis Topics | Text Mining Code Project Topics
 
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Contact Best Matlab Projects Visit us: https://matlabprojects.org/
Views: 45 Matlab Projects
Text Mining the Contributors to Rail Accidents||ieee 2017 java projects at bangalore
 
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We are providing a Final year IEEE project solution & Implementation with in short time. If anyone need a Details Please Contact us Mail: [email protected] or [email protected] Phone: 09842339884, 09688177392 Watch this also: https://www.youtube.com/channel/UCDv0caOoT8VJjnrb4WC22aw ieee projects, ieee java projects , ieee dotnet projects, ieee android projects, ieee matlab projects, ieee embedded projects,ieee robotics projects,ieee ece projects, ieee power electronics projects, ieee mtech projects, ieee btech projects, ieee be projects,ieee cse projects, ieee eee projects,ieee it projects, ieee mech projects ,ieee e&I projects, ieee IC projects, ieee VLSI projects, ieee front end projects, ieee back end projects , ieee cloud computing projects, ieee system and circuits projects, ieee data mining projects, ieee image processing projects, ieee matlab projects, ieee simulink projects, matlab projects, vlsi project, PHD projects,ieee latest MTECH title list,ieee eee title list,ieee download papers,ieee latest idea,ieee papers,ieee recent papers,ieee latest BE projects,ieee B tech projects| Engineering Project Consultants bangalore, Engineering projects jobs Bangalore, Academic Project Guidance for Electronics, Free Synopsis, Latest project synopsiss ,recent ieee projects ,recent engineering projects ,innovative projects| Computer Software Project Management Consultants, Project Consultants For Electrical, Project Report Science, Project Consultants For Computer, ME Project Education Consultants, Computer Programming Consultants, Project Consultants For Bsc, Computer Consultants, Mechanical Consultants, BCA live projects institutes in Bangalore, B.Tech live projects institutes in Bangalore,MCA Live Final Year Projects Institutes in Bangalore,M.Tech Final Year Projects Institutes in Bangalore,B.E Final Year Projects Institutes in Bangalore , M.E Final Year Projects Institutes in Bangalore,Live Projects,Academic Projects, IEEE Projects, Final year Diploma, B.E, M.Tech,M.S BCA, MCA Do it yourself projects, project assistance with project report and PPT, Real time projects, Academic project guidance Bengaluru| Image Processing ieee projects with source code,VLSI projects source code,ieee online projects.best projects center in Chennai, best projects center in trichy, best projects center in bangalore,ieee abstract, project source code, documentation ,ppt ,UML Diagrams,Online Demo and Training Sessions|Rail safety, safety engineering, latent Dirichlet allocation, partial least squares, random forests|PLS predictor|RMSE from cross-validation with different numbers of components.
Genetic Algorithms Tutorial 06 - data mining + JAVA 8 + logical operators
 
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Website + download source code @ http://www.zaneacademy.com
Views: 2035 zaneacademy
BoilerPipe - quick HTML full text extraction
 
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video demonstrates how you can use the open source BoilerPipe library to extract text from a HTML. The various extractors provided in the library handle removing the pages boiler plate HTML (ie removes the header/footer etc) so that you can focus on processing the main text on the page.
Views: 2504 Melvin L
[Old] PDFBox Example Code: How to Extract Text From PDF file with java
 
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Please watch an Updated version of this video, this video is too old: https://www.youtube.com/watch?v=McE9yHqr6Kk
Views: 43223 Radix Code
Java Implementation of K-Nearest Neighbors (kNN) Classifier 1/2
 
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The code can be found here: www.imperial.ac.uk/people/n.sadawi Go to Tutorials and then Machine Learning section!
Views: 32674 Noureddin Sadawi
Opinion Mining For Social Networking Sites Java Project
 
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Opinion Mining For Social Networking Sites Java Project Download Project Code, Report and PPT :+91 7702177291, +91 9052016340 Email : [email protected] Website : www.1000projects.org
Views: 227 1000 Projects
Effective Pattern Discovery for Text Mining 2012 IEEE JAVA
 
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Effective Pattern Discovery for Text Mining 2012 IEEE JAVA TO GET THIS PROJECT IN ONLINE OR THROUGH TRAINING SESSIONS CONTACT: Chennai Office: JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai – 83. Landmark: Next to Kotak Mahendra Bank / Bharath Scans. Landline: (044) - 43012642 / Mobile: (0)9952649690 Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry – 9. Landmark: Opp. To Thattanchavady Industrial Estate & Next to VVP Nagar Arch. Landline: (0413) - 4300535 / Mobile: (0)8608600246 / (0)9952649690 Email: [email protected], Website: http://www.jpinfotech.org, Blog: http://www.jpinfotech.blogspot.com Many data mining techniques have been proposed for mining useful patterns in text documents. However, how to effectively use and update discovered patterns is still an open research issue, especially in the domain of text mining. Since most existing text mining methods adopted term-based approaches, they all suffer from the problems of polysemy and synonymy. Over the years, people have often held the hypothesis that pattern (or phrase)-based approaches should perform better than the term-based ones, but many experiments do not support this hypothesis. This paper presents an innovative and effective pattern discovery technique which includes the processes of pattern deploying and pattern evolving, to improve the effectiveness of using and updating discovered patterns for finding relevant and interesting information. Substantial experiments on RCV1 data collection and TREC topics demonstrate that the proposed solution achieves encouraging performance.
Views: 3767 jpinfotechprojects
Finding Elements of Text with NLP in Java :Text Classification & Sentiment Analysis|packtpub.com
 
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This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and code, visit [http://bit.ly/2jcNC0a]. The aim if this video is to make you understand the applications of models in text classification • Understand the nature of text classification • Learn about the utility of text classification • Learn about the importance of models in text classification For the latest Big Data and Business Intelligence tutorials, please visit http://bit.ly/1HCjJik Find us on Facebook -- http://www.facebook.com/Packtvideo Follow us on Twitter - http://www.twitter.com/packtvideo
Views: 310 Packt Video
Data Mining Projects in Java | Data Mining Thesis in Java | Data Mining Code Projects in Java
 
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Contact Best Matlab Simulation Projects Visit us: http://matlabsimulation.com/
Views: 286 matlab simulation
Final Year Projects | Effective Pattern Discovery for Text Mining | ClickMyProject
 
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Effective Pattern Discovery for Text Mining -Final Year Projects More Details: Visit http://clickmyproject.com/effective-pattern-discovery-for-text-mining-p-116.html Including Packages ======================= * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-778-1155 Visit Our Channel: http://www.youtube.com/clickmyproject Mail Us : [email protected]
Views: 5958 Clickmyproject
#32 Text Analysis using Java Program || Core Java in Tamil
 
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This video guides you through step by step instructions on how to build a class based java program to accomplish the following specification: Write a loop that will examine each character in a string called "text" and determine how many of the characters are letters, how many are digits, how many are white space characters, and how many are other kinds of characters (eg. punctuation characters). (in Tamil) This Video is Part of “Professional Degree in Core Java in Tamil” You can Watch all videos, click this link : https://goo.gl/g3Tz6r For a full list of our YouTube courses, visit our website: http://cka.collectiva.in/programming Contact Details : Feel free to Call : (+91) 850 850 2000 By Collectiva Knowledge Acadamy http://cka.collectiva.in Related searches: java in tamil, java in tamil tutorial, java in tamil language, java programming in tamil, java programming tutorial in tamil, learn java in tamil, learn core java in tamil, learn java programming for beginners in tamil,Text Analysis using Java Program
Web Scraping with Java(Extract Website Data): The EASY Way
 
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In this video we will see how to fetch data from a website using java. This is also known as Web Scraping. We are going to use Jsoup for this purpose. If you like the video Please subscribe to our channel and hit the like button: Subcribe : https://www.youtube.com/channel/UCF-RAxRXVC1o_30flQ-hy7w?sub_confirmation=1 Libraries Required Jsoup : https://jsoup.org/download
Views: 25521 GadgetsByBG
Text Analytics 3: Refactoring Analysis
 
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In this video, I highlight a DRY violation that has been hiding in the code--specifically in the Analysis class. I walk through how to remove the redundancy and get us back to Clean Code with the same set of tests we previously had.
Views: 76 Paul Gestwicki
How to run Word Count example on Hadoop MapReduce (WordCount Tutorial)
 
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WordCount example reads text files and counts how often words occur. The input is text files and the output is text files, each line of which contains a word and the count of how often it occurred, separated by a tab. You can download the code I used in the tutorial from here: https://www.dropbox.com/s/yp9i7nwmgzr3nkx/WordCount.java?dl=0
Views: 49356 Mohammed Sheeha
Sentiment Analysis in 4 Minutes
 
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Link to the full Kaggle tutorial w/ code: https://www.kaggle.com/c/word2vec-nlp-tutorial/details/part-1-for-beginners-bag-of-words Sentiment Analysis in 5 lines of code: http://blog.dato.com/sentiment-analysis-in-five-lines-of-python I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ The Stanford Natural Language Processing course: https://class.coursera.org/nlp/lecture Cool API for sentiment analysis: http://www.alchemyapi.com/products/alchemylanguage/sentiment-analysis I recently created a Patreon page. If you like my videos, feel free to help support my effort here!: https://www.patreon.com/user?ty=h&u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 91301 Siraj Raval
Weka Data Mining Tutorial for First Time & Beginner Users
 
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23-minute beginner-friendly introduction to data mining with WEKA. Examples of algorithms to get you started with WEKA: logistic regression, decision tree, neural network and support vector machine. Update 7/20/2018: I put data files in .ARFF here http://pastebin.com/Ea55rc3j and in .CSV here http://pastebin.com/4sG90tTu Sorry uploading the data file took so long...it was on an old laptop.
Views: 435690 Brandon Weinberg
Text Mining the Contributors to Rail Accidents
 
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Text Mining the Contributors to Rail Accidents Abstract: Rail accidents represent an important safety concern for the transportation industry in many countries. In the 11 years from 2001 to 2012, the U.S. had more than 40 000 rail accidents that cost more than 45million.Whilemostoftheaccidentsduringthisperiodhadverylittlecost,about5200haddamagesinexcessof141 500. To better understand the contributors to these extreme accidents, the Federal Railroad Administration has required the railroads involved in accidents to submit reports that contain both fixed field entries and narratives that describe the characteristics of the accident. While a number of studies have looked at the fixed fields, none have done an extensive analysis of the narratives. This paper describes the use of text mining with a combination of techniques to automatically discover accident characteristics that can inform a better understanding of the contributors to the accidents. The study evaluates the efficacy of text mining of accident narratives by assessing predictive performance for the costs of extreme accidents. The results show that predictive accuracy for accident costs significantly improves through the use of features found by text mining and predictive accuracy further improves through the use of modern ensemble methods. Importantly, this study also shows through case examples how the findings from text mining of the narratives can improve understanding of the contributors to rail accidents in ways not possible through only fixed field analysis of the accident reports SIMILAR VIDEOS: https://www.youtube.com/watch?v=AZI6oHAEtU8 https://www.youtube.com/watch?v=o0mT99zKAqA https://www.youtube.com/watch?v=X7jZtTq74WU https://www.youtube.com/watch?v=EO1rgFk07kQ https://www.youtube.com/watch?v=ACtU9aaoh_8 https://www.youtube.com/watch?v=cbZFKV4A0X8 https://www.youtube.com/watch?v=AWcD3pIGJjI https://www.youtube.com/watch?v=0y5w5CbMips https://www.youtube.com/watch?v=rhCtDFPNHCE https://www.youtube.com/watch?v=t41nfgBy8pY https://www.youtube.com/watch?v=LLUlzVlIJOw https://www.youtube.com/watch?v=mSjS4IGyrW0 https://www.youtube.com/watch?v=1TnAqAkxuws https://www.youtube.com/watch?v=nxoUUe8rrtQ https://www.youtube.com/watch?v=XBzwg1EY2SI https://www.youtube.com/watch?v=RRVWWUd9NLk https://www.youtube.com/watch?v=Es0eHDHksiM https://www.youtube.com/watch?v=x5CAAPGuo3g https://www.youtube.com/watch?v=sQKIpfEpQmo https://www.youtube.com/watch?v=hcmrJkwn1T4 https://www.youtube.com/watch?v=cNw3u68a424 https://www.youtube.com/watch?v=6sKfA1vFZBA https://www.youtube.com/watch?v=cFsryGMYxIE For More Videos - https://www.youtube.com/channel/UCR5lsF-lDQu6rVYVJPqNn6Q SOCIAL HANDLES: SCOOP IT- http://www.scoop.it/u/1croreprojects FACEBOOK - https://www.facebook.com/1Croreprojectsieeeprojects/ TWITTER - https://twitter.com/1crore_projects LINKEDIN - https://www.linkedin.com/in/1-crore-projects-ba982a118/ GOOGLE+ - https://plus.google.com/u/0/105783610929019156122 PINTEREST - https://in.pinterest.com/onecroreproject/ BLOG - 1croreprojectz.blogspot.com DOMAIN PROJECTS DOTNET - http://www.1croreprojects.com/dotnet-ieee-project-centers-in-chennai.php JAVA - http://www.1croreprojects.com/java-ieee-projects-chennai.php EMBEDDED - http://www.1croreprojects.com/embedded-systems-ieee-projects-chennai.php MATLAB - http://www.1croreprojects.com/matlab-ieee-projects-chennai.php NS2 - http://www.1croreprojects.com/ns2-ieee-projects-chennai.php VLSI -http://www.1croreprojects.com/vlsi-ieee-projects-chennai.php FOR PROJECTS - http://www.1croreprojects.com/ BUSINESS CONTACT: Email - [email protected] We are always open for all business prospects. You can get in touch which us, using the above mentioned e-mail id and contact number. ABOUT 1CROREPROJECTS: 1Crore Projects is company providing outstanding, cost-effective, effective result authorized on solutions. Our objective is to create solutions that enhance company process and increase come back in most possible time. We started truly to provide solutions to the customers all over the world. We have been effectively in providing solutions for different challenges across a wide range of market and customers propagate across the globe.
Views: 303 1 Crore Projects
Finding Elements of Text with NLP in Java : The Course Overview | packtpub.com
 
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This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and code, visit [http://bit.ly/2jcNC0a]. This video will give you an overview about the course. For the latest Big Data and Business Intelligence tutorials, please visit http://bit.ly/1HCjJik Find us on Facebook -- http://www.facebook.com/Packtvideo Follow us on Twitter - http://www.twitter.com/packtvideo
Views: 145 Packt Video
K Means Clustering Algorithm | K Means Example in Python | Machine Learning Algorithms | Edureka
 
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** Python Training for Data Science: https://www.edureka.co/python ** This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python Blog: https://goo.gl/fe7ykh ) series presents another video on "K-Means Clustering Algorithm". Within the video you will learn the concepts of K-Means clustering and its implementation using python. Below are the topics covered in today's session: 1. What is Clustering? 2. Types of Clustering 3. What is K-Means Clustering? 4. How does a K-Means Algorithm works? 5. K-Means Clustering Using Python Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm Subscribe to our channel to get video updates. Hit the subscribe button above. How it Works? 1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you: 1. Programmatically download and analyze data 2. Learn techniques to deal with different types of data – ordinal, categorical, encoding 3. Learn data visualization 4. Using I python notebooks, master the art of presenting step by step data analysis 5. Gain insight into the 'Roles' played by a Machine Learning Engineer 6. Describe Machine Learning 7. Work with real-time data 8. Learn tools and techniques for predictive modeling 9. Discuss Machine Learning algorithms and their implementation 10. Validate Machine Learning algorithms 11. Explain Time Series and its related concepts 12. Perform Text Mining and Sentimental analysis 13. Gain expertise to handle business in future, living the present - - - - - - - - - - - - - - - - - - - Why learn Python? Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license. Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain. For more information, please write back to us at [email protected] Call us at US: +18336900808 (Toll Free) or India: +918861301699 Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Review Sairaam Varadarajan, Data Evangelist at Medtronic, Tempe, Arizona: "I took Big Data and Hadoop / Python course and I am planning to take Apache Mahout thus becoming the "customer of Edureka!". Instructors are knowledge... able and interactive in teaching. The sessions are well structured with a proper content in helping us to dive into Big Data / Python. Most of the online courses are free, edureka charges a minimal amount. Its acceptable for their hard-work in tailoring - All new advanced courses and its specific usage in industry. I am confident that, no other website which have tailored the courses like Edureka. It will help for an immediate take-off in Data Science and Hadoop working."
Views: 17122 edureka!
Weka Tutorial 14: The Java API with Eclipse (Application)
 
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In this tutorial I showed how you can download and incorporate the Weka API with Eclipse Java IDE. The download link for the api is http://www.cs.waikato.ac.nz/ml/weka/
Views: 37359 Rushdi Shams
PageRank Algorithm - Example
 
10:11
Full Numerical Methods Course: http://bit.ly/numerical-methods-java FREE Beginner Java Course: http://bit.ly/2rMkyxN
Views: 53963 Balazs Holczer
Genetic Algorithms Tutorial 07 - data mining + arithmetic operators + JAVA 8
 
29:49
Website + download source code @ http://www.zaneacademy.com
Views: 964 zaneacademy
Evaluating Text Extraction: Apache Tika's™ New Tika-Eval Module - Tim Allison, The MITRE Corporation
 
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Evaluating Text Extraction: Apache Tika's™ New Tika-Eval Module - Tim Allison, The MITRE Corporation Text extraction tools are essential for obtaining the textual content and metadata of computer files for use in a wide variety of applications, including search and natural language processing tools. Techniques and tools for evaluating text extraction tools are missing from academia and industry. Apache Tika™ detects file types and extracts metadata and text from many file types. Tika is a crucial component in a wide variety of tools, including Solr™, Nutch™, Alfresco, Elasticsearch and Sleuth Kit®/Autopsy®. In this talk, we will give an overview of the new tika-eval module that allows developers to evaluate Tika and other content extraction systems. This talk will end with a brief discussion of the results of taking this evaluation methodology public and evaluating Tika on large batches of public domain documents on a public vm over the last two years. About Tim Allison Tim has been working in natural language processing since 2002. In recent years, his focus has shifted to advanced search and content/metadata extraction. Tim is committer and PMC member on Apache PDFBox (since September 2016), and on Apache POI and Apache Tika since (July, 2013). Tim holds a Ph.D. in Classical Studies from the University of Michigan, and in a former life, he was a professor of Latin and Greek.
Views: 1674 The Linux Foundation
Building Bitcoin Software From Source Code
 
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Presentation Slides: http://averageradical.github.io/compile/#/ Send Tips directly to KevG @ bitcoin:1QDEf7xr33aHGPZUHg9WHQkyGLcYKXcv4i Much of the software associated with Bitcoin is open source, i.e. wallets, address generators, mining software, operating systems... Open source means the raw computer code is publicly available for scrutiny. Open source software is usually considered less buggy and more secure. One common obstacle with open source software is transforming it from the raw computer code to a program that runs on your phone, tablet, laptop, desktop. This process is called 'building from source'. This presentation seeks to demonstrate how to build from source several useful applications, with the ability to run these programs on multiple operating systems. Additionally, we will dive into the source code to make small changes prior to building, i.e. background color, edit text, etc... No software development experience necessary.
Views: 24090 Edge
How to recognize text from image with Python OpenCv OCR ?
 
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Recognize text from image using Python+ OpenCv + OCR. Buy me a coffee https://www.paypal.me/tramvm/5 if you think this is a helpful. Source code: http://www.tramvm.com/2017/05/recognize-text-from-image-with-python.html Relative videos: 1. ORM scanner: https://youtu.be/t66OAXI9mkw 2. Recognize answer sheet with mobile phone: https://youtu.be/82FlPaQ92OU 3. Recognize marked grid with USB camera: https://youtu.be/62P0c8YqVDk 4. Recognize answers sheet with mobile phone: https://youtu.be/xVLC4WdXvhE
Views: 92408 Tram Vo Minh
Text Classification Using Naive Bayes
 
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This is a low math introduction and tutorial to classifying text using Naive Bayes. One of the most seminal methods to do so.
Views: 89320 Francisco Iacobelli
An Ontology Based Text Mining Framework for R&D Project Selection
 
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An Ontology Based Text Mining Framework for R&D Project Selection ieee project in java
Views: 347 satya narayana
Weka Tutorial 15: Java API 101 (Application)
 
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In this tutorial, I showed how to interact with the Weka API for the first time with a simple Java code. In this code, I have loaded an ARFF file called 2.arff and then used Naive Bayes classifier with a 10 fold CV setup. I showed the standard output of Weka on the Eclipse output as well as the F-score, precision and recall of the 10 fold CV.
Views: 51321 Rushdi Shams
Text Summarization - TensorFlow and Deep Learning Singapore
 
16:26
Speaker: Anusha Sample Code: https://github.com/anooshac/machine-learning-projects/tree/master/text-summarizer Event Page: https://www.meetup.com/TensorFlow-and-Deep-Learning-Singapore/events/239252636/ Produced by Engineers.SG Help us caption & translate this video! http://amara.org/v/7PAC/
Views: 11468 Engineers.SG

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