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.
- 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".
Ensure you have Python installed on your machine. You'll also need to install the following Python libraries:
numpyscikit-learnnltk
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Prepare the Corpus:
Include a text file named
chatbot.txtin the repository root. This file should contain the text corpus Robo will use to generate responses. -
Run the Chatbot:
Execute the script to start interacting with Robo:
python robo_chatbot.py
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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.