https://github.com/yaswanth1702/chatbot

https://github.com/yaswanth1702/chatbot

natural-language-processing scikit-learn tf-idf-vectorization

Last synced: about 1 month ago
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• Host: GitHub
• URL: https://github.com/yaswanth1702/chatbot
• Owner: Yaswanth1702
• License: mit
• Created: 2024-08-09T06:35:52.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-08-09T06:43:10.000Z (6 months ago)
• Last Synced: 2024-11-03T03:43:04.105Z (3 months ago)
• Topics: natural-language-processing, scikit-learn, tf-idf-vectorization
• Language: Python
• Homepage:
• Size: 7.81 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Robo: A Simple Python Chatbot

## Overview

Robo is a basic rule-based chatbot built using Python and the Natural Language Toolkit (NLTK). This chatbot can respond to user queries by matching greetings and generating responses based on text similarity from a provided corpus. Robo is a great starting point for those interested in building chatbots and exploring natural language processing.

## Features

- **Greeting Recognition**: Robo can recognize and respond to various greetings.

- **Text-Based Response Generation**: It uses TF-IDF (Term Frequency-Inverse Document Frequency) to find the most relevant response from a provided text corpus.

- **Simple Interaction**: Users can interact with Robo until they choose to exit by typing "bye".

### Prerequisites

Ensure you have Python installed on your machine. You'll also need to install the following Python libraries:

- `numpy`

- `scikit-learn`

- `nltk`

### Setup

1. **Prepare the Corpus**:

   

   Include a text file named `chatbot.txt` in the repository root. This file should contain the text corpus Robo will use to generate responses.

2. **Run the Chatbot**:

   Execute the script to start interacting with Robo:

   ```bash

   python robo_chatbot.py

   ```

3. **Interacting with Robo**:

   - Robo will greet you and wait for your input.

   - Type a greeting (e.g., "hello"), and Robo will respond.

   - Ask a question or make a statement related to the corpus, and Robo will try to generate a relevant response.

   - Type "bye" to end the conversation.