A couple of you make donations each month (out of about a thousand of you reading the text each week). Tragedy of the commons and all that... but if some more of you would donate a few bucks, that would be great support of the author. In a community spirit (and with permission of my publisher), I am making my book available to the Python community. Minor corrections can be made to later printings,
GitHub - learnbyexample/Command-line-text-processing: :zap: From finding text to search and replace, from sorting to beautifying text and more :art:
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GitHub - twitter-archive/twitter-text-objc: An Objective-C implementation of Twitter's text processing library
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GitHub - hakatashi/japanese.js: Util collection for Japanese text processing. Hiraganize, Katakanize, and Romanize.
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GitHub - himkt/konoha: 🌿 An easy-to-use Japanese Text Processing tool, which makes it possible to switch tokenizers with small changes of code.
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TextBlob: Simplified Text Processing — TextBlob 0.18.0.post0 documentation
TextBlob: Simplified Text Processing¶ Release v0.18.0.post0. (Changelog) TextBlob is a Python library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, and more. from textblob import TextBlob text = """ The titular threat of The Blob has alw
GitHub - twitter-archive/twitter-text-js: A JavaScript implementation of Twitter's text processing library
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Browse free open source Text Processing software and projects below. Use the toggles on the left to filter open source Text Processing software by OS, license, language, programming language, and project status. Project Insight offers powerful tools for project managers and teams in order to deliver optimal performance and ensure success. An enterprise project and portfolio management software, Pr
Jimmy Lin and Chris Dyer. Morgan & Claypool Publishers, 2010. Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradig
Command-line-text-processing/perl_the_swiss_knife.md at master · learnbyexample/Command-line-text-processing
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GitHub - vfile/vfile: Virtual file format for text processing used in @unifiedjs
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Command-line-text-processing/ruby_one_liners.md at master · learnbyexample/Command-line-text-processing
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TextBlob: Simplified Text Processing — TextBlob 0.18.0.post0 documentation
TextBlob: Simplified Text Processing¶ Release v0.18.0.post0. (Changelog) TextBlob is a Python library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, and more. from textblob import TextBlob text = """ The titular threat of The Blob has alw
GitHub - HojiChar/HojiChar: The robust text processing pipeline framework enabling customizable, efficient, and metric-logged text preprocessing.
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Command-line-text-processing/gnu_awk.md at master · learnbyexample/Command-line-text-processing
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GitHub - golang/text: [mirror] Go text processing support
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![GitHub - golang/text: [mirror] Go text processing support](https://cdn-ak-scissors.b.st-hatena.com/image/square/046205ad77bdb7782a6227d9fb95b61ed6cd280e/height=288;version=1;width=512/https%3A%2F%2Fopengraph.githubassets.com%2F2d83fcf978b40183f0639b5d2d451db091596467bcab22935bdb6f679de15fcd%2Fgolang%2Ftext)
メリーランド大学のJimmy Lin准教授がメインで執筆した、MapReduceに関する英語のテキストがPDFで公開されています。扱っているMapReduceのモデルが、オープンソースのMapReduce実装であるHadoopが前提になっていることが特徴的で、Hadoopを実際に触っていれば用語やしくみなどで理解を早めることができます。 内容は、大量のデータを伴うテキスト処理についてどうMapReduceに適用させるかについて解説しています。Mapper、Reducer、CombinerなどMapReduceの基礎から始まり、「セカンダリソート」や「Pairs and Stripes」など、MapReduce特有のアルゴリズムやデザインパターンの解説を行っています。そして、検索インデックスの作成やグラフアルゴリズム、EMアルゴリズムといった各アルゴリズム実装について、MapReduceを
Data-Intensive Text Processing with MapReduce ch4
This document is written about "Data-Intensive Text Processing with MapReduce" Chapter 4. This chapter describes how to design inverted index with MapReduce algorithm. Read less
Recent advances in neural variational inference have spawned a renaissance in deep latent variable models. In this paper we introduce a generic variational inference framework for generative and conditional models of text. While traditional variational methods derive an analytic approximation for the intractable distributions over latent variables, here we construct an inference network conditione
GitHub - jdkato/prose: :book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction.
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Unix Text Processing, by Dale Dougherty and Tim O'Reilly, was published by Hayden Books in 1987, back when O'Reilly & Associates wrote technical documentation for hire. Hayden later took the book out of print, but Dale and Tim retained the copyright and have decided to make it available through our web site under Creative Commons' Attribution License. Unix Text Processing is available in the follo
This is the second part of my text processing series. In this blog, we'll look into how text documents can be stored in a form that can be easily retrieved by a query. I'll used the popular open source Apache Lucene index for illustration. There are two main processing flow in the system ... Document indexing: Given a document, add it into the index Document retrieval: Given a query, retrieve th
CICLing-2011 Conference: Computational Linguistics and Intelligent Text Processing
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Python NLTK Demos and Natural Language Text Processing APIs
Natural Language Processing APIs and Python NLTK DemosWelcome to text-processing.com, where you can find natural language processing APIs and Python NLTK demos. The Text Processing API supports the following functionality: Stemming & LemmatizationSentiment AnalysisTagging and Chunk ExtractionPhrase Extraction & Named Entity RecognitionThe APIs are currently open & free, but limited. If you'd like
GitHub - carpedm20/variational-text-tensorflow: TensorFlow implementation of Neural Variational Inference for Text Processing
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IntroductionI've been using Linux since 2007, but it took me ten more years to really explore coreutils when I wrote tutorials for the Command Line Text Processing repository. Any beginner learning Linux command line tools would come across the cat command within the first week. Sooner or later, they'll come to know popular text processing tools like grep, head, tail, tr, sort, etc. If you were li
GitHub - andrewbihl/bsed: Simple SQL-like syntax on top of Perl text processing.
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Text processing like humans do : visually attacking and shielding nlp systems[paper survey]
1. Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems Steffen Eger, Gözde Gül Şahin, Andreas Rücklé , Ji-Ung Lee, Claudia Schulz , Mohsen Mesgar, Krishnkant Swarnkar , Edwin Simpson , Iryna Gurevych Ubiquitous Knowledge Processing Lab (UKP-TUDA) Research Training Group AIPHES Department of Computer Science, Technische Universität Darmstadt
![Text processing like humans do : visually attacking and shielding nlp systems[paper survey]](https://cdn-ak-scissors.b.st-hatena.com/image/square/5f6bb8f5faa99be027d759cbd96bc7787172e642/height=288;version=1;width=512/https%3A%2F%2Fcdn.slidesharecdn.com%2Fss_thumbnails%2Ftextprocessinglikehumansdovisuallyattackingandshieldingnlpsystemspaper-survey-191102043730-thumbnail.jpg%3Fwidth%3D640%26height%3D640%26fit%3Dbounds)
Jimmy Lin and Chris Dyer. Morgan & Claypool Publishers, 2010. Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradig
Data-Intensive Text Processing with MapReduce(Ch1,Ch2)
This document is written about "Data-Intensive Text Processing with MapReduce" Chapter 1 and 2. It includes basic topics about MapReduce programming model. Next document will be more advanced topics.Read less
Table of Contents cat head tail wc grep cut paste sort uniq awk tr fold sed Real-life examples Going further: for loops and xargs Summary Going further Text processing in the shell One of the things that makes the shell an invaluable tool is the amount of available text processing commands, and the ability to easily pipe them into each other to build complex text processing workflows. These comman
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Online Text Tools – Simple, free and easy to use text processing utilities
We created Browserling – get a cloud browser in 5 seconds. Check it out! Online Text ToolsGet things done fastThe Ultimate Text Toolbox! Elevate your text game with Online Text Tools, the definitive suite for all your editing needs. Effortlessly switch between hundreds of utilities, enjoy on-the-spot previews, and craft with confidence knowing your data is 100% secure. Created by team Browserling.
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Jimmy Lin » Data-Intensive Text Processing with MapReduce
Text Processing in Python (a book)
Amazon.co.jp: 入門vi: UNIX text processing: Linda Lamb (著), Arnold Robbins (著), 福崎俊博 (翻訳): 本
入門GNU Emacs UNIX text processing
GitHub - catatsuy/purl: Streamlining Text Processing
Best Open Source Text Processing Software 2024
Data-Intensive Text Processing with MapReduce
Amazon.co.jp: Data-Intensive Text Processing with MapReduce: Lin, Jimmy (著), Dyer, Chris (著), Hirst, Graeme (Series Editor): 本
Data-Intensive Text Processing with MapReduce | gihyo.jp
Amazon.co.jp: Learning the vi and Vim Editors: Text Processing at Maximum Speed and Power: Robbins, Arnold, Hannah, Elbert, Lamb, Linda: 本
Neural Variational Inference for Text Processing
Unix Text Processing (Hayden Books)
Text processing (part 2): Inverted Index
CLI text processing with GNU Coreutils
書籍「Text Processing in Python」がWebで公開されてる : YasiYasi's Blog
Data-Intensive Text Processing with MapReduce
Balthazar – Text processing in the shell
Sphinx Text Processing Pipeline