This repository contains a collection of Natural Language Processing (NLP) experiments and models developed using Python, Jupyter Notebook, and Deep Learning techniques. All the code in this project is fully runnable, and the entire environment is containerized using Docker to ensure consistency and avoid OS-level package conflicts.
i have practiced natural language processing, it have comple detail from start to end
All the required datasets are stored in the dataset folder
All datasets used for model training and evaluation are stored in the data/ folder. These include: Raw text data Preprocessed datasets
Programming & Tools
Python 3 Jupyter Notebook Docker (to ensure platform-independent execution) Machine Learning / Deep Learning Neural Networks Recurrent Neural Networks (RNN/LSTM/GRU)
Clean, organized project structure All scripts and notebooks are fully runnable Environment is Docker-containerized to prevent OS conflicts Multiple NLP tasks explored (classification, sentiment analysis, etc.) Reproducible experiments
add to docker:
This project includes multiple experiments in NLP such as: Text preprocessing Feature extraction Deep learning-based classification models Neural network architecture experiments Evaluation metrics and visualizations Each experiment is documented inside the respective Jupyter notebooks.
Feel free to fork the repository and create pull requests. Suggestions and improvements are always welcome!