https://github.com/alihassanml/chatbot
NLP-Chat-Bot-Machine-Learning-Project
https://github.com/alihassanml/chatbot
Last synced: about 1 month ago
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NLP-Chat-Bot-Machine-Learning-Project
- Host: GitHub
- URL: https://github.com/alihassanml/chatbot
- Owner: alihassanml
- Created: 2024-04-07T18:53:26.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-01T08:22:11.000Z (over 1 year ago)
- Last Synced: 2025-02-21T11:27:05.171Z (8 months ago)
- Language: Jupyter Notebook
- Size: 1.42 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
## Natural Language Process Chat Bot
**NLP Chat Machine Learning Project using Python**
**Description:**
This project utilizes Natural Language Processing (NLP) techniques and machine learning algorithms to create a chatbot capable of engaging in conversations with users. The chatbot is built using Python, leveraging libraries such as NLTK (Natural Language Toolkit) for text preprocessing, scikit-learn for TF-IDF vectorization, and cosine similarity for determining the most relevant responses.
**Key Features:**
1. **Text Preprocessing:** Utilizes NLTK for tokenization of words and sentences, as well as for removing stopwords and special characters from input text.
2. **TF-IDF Vectorization:** Implements the Term Frequency-Inverse Document Frequency (TF-IDF) technique to convert text data into numerical vectors, capturing the importance of words in the context of the entire corpus.
3. **Cosine Similarity:** Computes the cosine similarity between user input and predefined responses to determine the most suitable reply.
4. **GitHub Repository Structure:**
- **main.py:** Contains the main code for initializing the chatbot and handling user interactions.
- **requirements.txt:** Lists all the dependencies required to run the project.
- **README.md:** Provides instructions for setting up and running the project, along with additional information about its functionality.
- **data/:** Directory containing any necessary data files, such as preprocessed text data or training datasets.
- **models/:** Directory for storing any trained machine learning models used by the chatbot.
- **utils/:** Contains utility functions and scripts used in the project.
5. **Usage Instructions:** Includes detailed steps for installing dependencies, setting up the environment, and running the chatbot.
6. **Contribution Guidelines:** Encourages contributions from the open-source community, providing guidelines for submitting bug fixes, feature enhancements, or other improvements.
7. **License Information:** Specifies the license under which the project is released, ensuring compliance with open-source standards.
8. **Acknowledgments:** Recognizes and credits any external libraries, datasets, or resources used in the project development.
**Dependencies:**
- Python 3.x
- NLTK
- scikit-learn
**How to Use:**
1. Clone the GitHub repository to your local machine.
2. Install the required dependencies listed in the `requirements.txt` file using pip.
3. Run the `main.py` script to start the chatbot.
4. Interact with the chatbot by inputting text messages and receiving responses based on the implemented NLP algorithms.
**Contributing:**
Contributions to the project are welcome! Follow the guidelines outlined in the `CONTRIBUTING.md` file to contribute code, report issues, or suggest improvements.
**License:**
This project is licensed under the [MIT License](https://opensource.org/licenses/MIT). See the `LICENSE` file for more details.
**Acknowledgments:**
- The NLTK development team for providing a comprehensive toolkit for NLP tasks.
- The scikit-learn community for creating a robust library for machine learning in Python.
- OpenAI for developing GPT models, which inspire advancements in conversational AI.
**References:**
- NLTK Documentation: https://www.nltk.org/
- scikit-learn Documentation: https://scikit-learn.org/stable/
Feel free to reach out with any questions or feedback!