Text Processing History
Learn basics of Text Processing
In the world of computing, text processing means the methods of manipulating or creating electronic text. LiveEdu.tv is a great place to start learning or improve your text processing skills with a section dedicated to text processing tutorials and resources. Here you can watch how text processing work. You can also search for text processing topic in our video library and premium projects. Join the community and improve your career prospects!
24,652
Text Processing Introduction
In the world of computing, text processing refers to methods of manipulating or creating electronic text. This discipline is quite popular among companies as it offers them good insight on what is going on around them. Text, in this case, refers to the alphanumeric characters that a person types with his/her keyboard. Technically, the text can be an abstraction layer over one of the standard character encoding. The process of manipulating or creating of data is known as text processing.
History of Text Processing
Regular language first saw the the use of text processing. It is the result of computer test processing with Klenne’s formalizing.
Text Processing Tools
To work effectively, you need to use tools. There are plenty of text processing tools online to get work done. Let’s list the 5 best text processing tools.You can also check the list of processing tools.
- General-Purpose Preprocessors:- m4, filepp, chpp, GPP.
- General-Purpose template systems:- Jinja2, eRuby, HTML-Template, Cheetah, Smarty.
- Parser Generators: Regexp::Grammars, Marpa, ANTLR, Yaac, Lemon Parser Generator.
- Diffing and Patching Tools: GNU patch, comm, Meld, GNU wdiff.
- XML Processors: XQuery, SAXON, XML transformation languages
- Standard UNIX Text Processing Tools: - tail, paste, head, sed, grep.
Education Ecosystem Text Processing Project Creators
If you are wondering where to get started to learn Text Processing, our recommendation will be to watch Text Processing Project Creators on Education Ecosystem. Let’s list the top 5 Text Processing Project Creators on Education Ecosystem.
-
Streamer Name: ionel
Project Name: PSD to HTML/CSS - The right way
-
Streamer Name: painballbob
Project Name: Had a baby! BRB
-
Streamer Name: Raeon
Project Name: AnalyticText-based Browser RPG(Lua/JS)
-
Streamer Name: hulsizer
Project Name: Clarity - Handmade Swift Editor
-
Streamer Name: midnightdream
Project Name: Computational Linguistics Study
Text Processing Best Books
There are plenty of text processing books available online. The best way to start learning text processing is to invest in the books. So, why the wait? Let’s go through the best books for learning text processing. These books are categorized into Beginner, Intermediate and Advanced. So pick the book that best suits you.
-
Python 2.6 Text Processing: Beginners Guide
by Jeff McNeil
With a basic knowledge of Python you have the potential to undertake time-saving text processing. This book is a great introduction to the various techniques, and teaches through practical examples and clear explanations.
-
Text Processing in Java
by Mitzi Morris
This book teaches you how to master the subtle art of multilingual text processing and prevent text data corruption. It provides an introduction to natural language processing using Lucene and Solr. It gives you tools and techniques to manage large collections of text data, whether they come from news feeds, databases, or legacy documents.
-
Text Processing in Python
by David Mertz
Filled with concrete examples, this book provides effective solutions to specific text processing problems and practical strategies for dealing with all types of text processing challenges. It provides the answers to questions such as: What is the best way to convert from binary to ASCII?; How do I work with full text indexing?; How do I find a URL or an email address in text?; What are the different levels of pattern matching?; How do I process a report with a concrete state machine?; How do I parse, create and manipulate HTML documents?; How do I handle a lossless and lossy compression?; And what is the most efficient way to find codepoints in Unicode?
-
Python 3 Text Processing with NLTK 3 Cookbook
This book will teach you how to break text down into its component parts for spelling correction, feature extraction, and phrase transformation. You will also learn how to do custom sentiment analysis and named entity recognition, work through the natural language processing concepts with simple and easy-to-follow programming recipes.
-
Text Processing with Ruby: Extract Value from the Data That Surrounds You
by Rob Miller
Text Processing with Ruby takes a practical approach. You'll learn how to get text into your Ruby programs from the file system and from user input. You'll process delimited files such as CSVs, and write utilities that interact with other programs in text-processing pipelines. Decipher character encoding mysteries, and avoid the pain of jumbled characters and malformed output.
-
Interactive Data Visualization for the Web: An Introduction to Designing with D3
by Scott Murray
The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and visualize characteristics of text. You’ll also learn how to integrate natural language processing (NLP) into effective workflows. Practical code examples and data explorations will help you generate real insights from literature, news, and social media.
-
Programming Perl: Unmatched power for text processing and scripting
In this much-anticipated update to "the Camel," three renowned Perl authors cover the language up to its current version, Perl 5.14, with a preview of features in the upcoming 5.16. In a world where Unicode is increasingly essential for text processing, Perl offers the best and least painful support of any major language, smoothly integrating Unicode everywhere—including in Perl’s most popular feature: regular expressions.
-
Learning the vi and Vim Editors: Text Processing at Maximum Speed and Power
by Arnold Robbins, Elbert Hannah, Linda Lamb
With this guide, you learn text editing basics and advanced tools for both editors, such as multi-window editing, how to write both interactive macros and scripts to extend the editor, and power tools for programmers -- all in the easy-to-follow style that has made this book a classic.
-
Applied Text Analysis with Python: Enabling Language Aware Data Products with Machine Learning
by Benjamin Bengfort, Rebecca Bilbro, Tony Ojeda
This book presents a concise, focused, and applied approach to text analysis with Python, and covers topics including text ingestion and wrangling, basic machine learning on text, classification for text analysis, entity resolution, and text visualization. Applied Text Analysis with Python will enable you to design and develop language-aware data products.
Text Processing Projects
The best way to learn is to evolve yourself with Projects. Let’s look at some of the best Text Processing projects that you can follow. You can also find Text Processing projects on Education Ecosystem. If you are interested, check Education Ecosystem Text Processing Project Creators section for more information.
NLTK NLTK is all about building Python programs to work with human language data.
Explore this project!This project uses the OpenNLP and offers multiple advanced tasks such as part of speech tagging, parsing, tokenization, etc.
Explore this project!Taming Text is a great book for text processing. Grant S.Ingersoll writes the book is a great project on text processing. You can learn a lot from this open book.
Explore this project!A rule-based sentence segmenter(splitter) and a word tokenizer using orthographic features.
Explore this project!SUTime is a library for normalizing and recognizing time expressions.
Explore this project!Text Processing Community
Text Processing has a universal presence and it is also evident from the community available. Not only you will find multiple websites that can help you meet up with like-minded people, but to also people in related field offline.
- Kaggle This is the home of data related subjects. It is basically a home for data science which equates same love for text processing,
- Education Ecosystem Here you can find all the awesome Project Creators who love to share their knowledge about Data Analytics.
Text Processing Gurus
-
Fei Song
Fei Song is a text processing expert who is interested in Artificial Intelligence, particularly in the fields of Natural Language Processing and Information Retrieval. He has conducted several projects in Text segmentation, Text summarization, Document Clustering and it Application to people search, Text categorization, Statistical methods for information retrieval, Temporal reasoning about plans and Medical information systems.
-
Eduard H. Hovy
Eduard H. Hovy is an expert in Text Mining, Computational linguistics, language translation and Natural language processing. He is currently the Research Professor at the Language Technologies Institute of Carnegie Mellon University, Co- Director for Research of the Command, Control, and Interoperability Center for Advanced Data Analysis and a Regular High-Level Visiting Scientist, International Guest Academic Talents(IGAT) Program for the Development of University Disciplines in China.
-
Dunwei(Grant) Wen
Dunwei(Grant) Wen is an expert in Text Analysis, Artificial Intelligence, Data Mining, Machine Learning and Inference and Natural language processing. His recent research program aims to advance the theory and technology of natural language and knowledge processing especially semantic analysis that bridges the gap between language and knowledge, by the novel use of both machine learning and inference methods.
-
Kevin C. Knight
Kevin C. Knight is a professor of Computer Science, School of Engineering, Research Director, Natural Language Group, Intelligent Systems Division, Information Science Institute. He is an expert in Text generation, natural language processing, natural language generation, cryptography, code breaking and more.
-
Niels Kasch
Niels Kasch is an expert in Machine learning and information extraction specialist with a Ph.D. in computer science. He is experienced in working with web-scale data sources. He has extensive knowledge of natural processing and topic modeling as well as detailed knowledge of software engineering and best practices.
Text Processing Conferences
Since Text Processing is a trending topic in the market, there are many conferences out there that you can attend. Let’s list some of the best Text processing conferences out there.
- International Conference on Computational Linguistics and Intelligent Text Processing
- ICASSP - IEEE International Conference on Acoustics, Speech
- IEEE International Conference on Image Processing
- ICME International Conference on Complex Medical Engineering
- IEEE 10th International Conference on Networking, Sensing and Control