Difference between revisions of "Natural Language Toolkit (NLTK)"
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[http://www.google.com/search?q=NLTK+nlp+toolkit+deep+machine+learning+ML+artificial+intelligence ...Google search] | [http://www.google.com/search?q=NLTK+nlp+toolkit+deep+machine+learning+ML+artificial+intelligence ...Google search] | ||
| − | * [[Natural Language Tools & Services]] | + | * [[Large Language Model (LLM)]] ... [[Natural Language Processing (NLP)]] ...[[Natural Language Generation (NLG)|Generation]] ... [[Natural Language Classification (NLC)|Classification]] ... [[Natural Language Processing (NLP)#Natural Language Understanding (NLU)|Understanding]] ... [[Language Translation|Translation]] ... [[Natural Language Tools & Services|Tools & Services]] |
* [http://www.nltk.org/ Natural Language Toolkit | NLTK.org] | * [http://www.nltk.org/ Natural Language Toolkit | NLTK.org] | ||
* [http://likegeeks.com/nlp-tutorial-using-python-nltk/ NLP Tutorial Using Python NLTK (Simple Examples)] | * [http://likegeeks.com/nlp-tutorial-using-python-nltk/ NLP Tutorial Using Python NLTK (Simple Examples)] | ||
Revision as of 14:12, 28 April 2023
Youtube search... ...Google search
- Large Language Model (LLM) ... Natural Language Processing (NLP) ...Generation ... Classification ... Understanding ... Translation ... Tools & Services
- Natural Language Toolkit | NLTK.org
- NLP Tutorial Using Python NLTK (Simple Examples)
- How to do Natural Language Processing | Anaconda Documentation
- How Machines Understand Our Language: An Introduction to Natural Language Processing | Emma Grimaldi - KDnuggets
- Parts of Speech Tagging with NLTK | Michael Elhadad Jupyter Notebook
- TextBlob (Python) is kind of an extension of NLTK. You can access many of NLTK's functions in a simplified manner; includes functionality from the Pattern library
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. Lexical Corpus Integration (WordNet, Stopwords, etc), Tokenization, Sentiment Analysis
