https://github.com/jayantgoel001/naturallanguagepreprocessing
https://github.com/jayantgoel001/naturallanguagepreprocessing
Last synced: 5 months ago
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- Host: GitHub
- URL: https://github.com/jayantgoel001/naturallanguagepreprocessing
- Owner: JayantGoel001
- Created: 2020-06-09T21:06:46.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-06-10T11:04:53.000Z (over 5 years ago)
- Last Synced: 2025-04-07T03:36:08.192Z (6 months ago)
- Language: Jupyter Notebook
- Size: 19.5 KB
- Stars: 7
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# **Natural Language Processing**
Natural language processing (NLP) is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.
Challenges in natural language processing frequently involve speech recognition, natural language understanding, and natural language generation.
# **Natural Language Toolkit**
NLTK is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries, and an active discussion forum.
Thanks to a hands-on guide introducing programming fundamentals alongside topics in computational linguistics, plus comprehensive API documentation, NLTK is suitable for linguists, engineers, students, educators, researchers, and industry users alike. NLTK is available for Windows, Mac OS X, and Linux. Best of all, NLTK is a free, open source, community-driven project.
NLTK has been called “a wonderful tool for teaching, and working in, computational linguistics using Python,” and “an amazing library to play with natural language.”
Natural Language Processing with Python provides a practical introduction to programming for language processing. Written by the creators of NLTK, it guides the reader through the fundamentals of writing Python programs, working with corpora, categorizing text, analyzing linguistic structure, and more. The online version of the book has been been updated for Python 3 and NLTK 3.