Metadata-Version: 2.4
Name: aynlp
Version: 0.1.1
Summary: AYNLP: A lightweight NLP toolkit built by Ankit and Yash for tokenization, stemming, lemmatization, and more. Visit https://github.com/aijadugar/AYNLP to explore the project.
Home-page: https://github.com/aijadugar/AYNLP
Author: Ankit Bari <ankitbari@zohomail.in>, Yash Kerkar <kerkaryash5@gmail.com>
Author-email: ankitbari@zohomail.in, kerkaryash5@gmail.com
License: MIT
Keywords: python,aynlp,nlp,natural-language-processing,tokenization,lemmatization,stemming,pos-tagging,ner,sentiment-analysis,text-processing,Ankit Bari,Yash Kerkar
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: nltk>=3.8.1
Requires-Dist: spacy>=3.7.0
Requires-Dist: tabulate>=0.9.0
Requires-Dist: textblob>=0.17.1
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Dynamic: classifier
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AYNLP (Advanced Yet Simple NLP) is a modular and lightweight Python toolkit designed to make 
Natural Language Processing (NLP) accessible, fun, and powerful. With AYNLP, you can:

- Tokenize text and filter stopwords
- Perform stemming and lemmatization
- Tag parts-of-speech (POS) and extract named entities (NER)
- Analyze sentiment using multiple approaches

The library is **easy to use**, highly **extensible**, and ideal for educational, research, and open-source projects.

📌 **Why Contribute?**
- Help enhance NLP functionalities and add new features
- Improve existing modules like tokenization, POS tagging, or sentiment analysis
- Optimize code performance and expand compatibility with other NLP libraries
- Report issues, suggest improvements, and participate in shaping the roadmap of a growing open-source project

💡 **Get Started**
Visit the GitHub repository: [AYNLP](https://github.com/aijadugar/AYNLP) to fork the project, raise issues, or contribute code. Every contribution helps the community and strengthens the toolkit for everyone.

Whether you are a student, researcher, or developer, AYNLP offers a playground for learning and contributing to real-world NLP projects.
