Welcome to the Natural Language Processing (NLP) repository! This collection highlights various projects, tools, and implementations related to NLP, showcasing the potential of machine learning and AI in understanding and processing human language.
In the future, this repository will include:
- Advanced NLP techniques such as sentiment analysis, text summarization, and text classification.
- Experiments with state-of-the-art models, including those from Hugging Face Transformers.
- Real-world projects and case studies demonstrating NLP applications in various domains.
This repository will explore projects using:
- Programming Language: Python
- Popular NLP Libraries: NLTK, SpaCy, Hugging Face Transformers
- Machine Learning Frameworks: Scikit-learn, TensorFlow, PyTorch
- Additional Tools: Regex, TextBlob, and Gensim
The purpose of this repository is to:
- Share practical NLP solutions and experiments.
- Provide examples and reusable code for developers and enthusiasts.
- Highlight the capabilities and challenges in natural language processing.
NLP-Projects/
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βββ Text_Analysis/
βββ Sentiment_Analysis/
βββ Language_Models/
βββ Text_Summarization/
βββ Text_Classification/
βββ Custom_Tools/
βββ README.md