Welcome to the Natural Language Processing repository! This project contains various NLP techniques, models, and applications designed to help you explore and understand the field of NLP.
This repository is dedicated to showcasing practical implementations of natural language processing techniques. The goal is to provide an educational and functional platform for anyone interested in NLP, whether you're a beginner or an experienced developer.
- Text preprocessing (tokenization, stemming, lemmatization, etc.)
- Sentiment analysis
- Text classification
- Named Entity Recognition (NER)
- Language modeling
- Machine translation
- Topic modeling
The repository leverages the following technologies and libraries:
- Python: The primary programming language.
- NLTK: For text preprocessing and basic NLP tasks.
- spaCy: For advanced NLP features like NER.
- Hugging Face Transformers: For state-of-the-art pre-trained models.
- Scikit-learn: For machine learning tasks.
- Pandas: For data manipulation.
To set up the environment and run the code, follow these steps:
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Clone the repository:
git clone https://github.com/gulcihanglmz/natural-language-processing cd natural-language-processing -
Create a virtual environment (optional but recommended):
python3 -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate
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Install the dependencies:
pip install -r requirements.txt
Contributions are welcome! Open a pull request. Feel free to explore, contribute, and use the resources provided here to build your own NLP solutions!