NLTK is a comprehensive Python library for natural language processing tasks. It provides a wide range of tools and resources for processing, analyzing, and understanding human language data.
- Tokenization: Splitting text into individual words or sentences.
- Stemming: Reducing words to their base or root form.
- Part-of-speech Tagging: Assigning grammatical tags to words.
- Named Entity Recognition: Identifying and classifying named entities in text.
- Sentiment Analysis: Determining the sentiment or opinion expressed in text.
- Text Classification: Categorizing text into predefined classes or categories.
- Language Corpora: Extensive collection of language data for training and testing models.
- Lexical Resources: Dictionaries, thesauri, and word lists for language analysis.
Follow these instructions to get started with NLTK:
- Install NLTK using pip:
pip install nltk - Download NLTK data:
python -m nltk.downloader all - Import NLTK in your Python script or interactive session:
import nltk
Refer to the NLTK documentation for detailed guides, tutorials, and examples.
Contributions to NLTK are welcome! If you want to contribute to the project, please follow the guidelines outlined in the CONTRIBUTING.md file.
NLTK is released under the Apache License 2.0. Please refer to the LICENSE file for more details.
Join the NLTK community to ask questions, share ideas, and get support. Here are some helpful resources:
- NLTK Website: https://www.nltk.org
- NLTK Mailing List: https://groups.google.com/group/nltk-users
- NLTK GitHub Repository: https://github.com/nltk/nltk
NLTK is developed and maintained by a team of contributors. We would like to thank all the individuals and organizations that have contributed to the project.
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