To build an AI chatbot from scratch using NLTK, you can follow these best practices and steps below:
- Data Collection: Gather a set of conversation data or create a custom corpus.
- Preprocessing: Tokenize, clean, and stem the data.
- Intent Classification: Train a classifier to detect user intent.
- Response Generation: Use a predefined set of responses or generate dynamic ones.
Here is the code snippet you can refer to:
In the above code, we are using the following key points:
- Data preprocessing: Tokenize and clean user input.
- Intent recognition: Use NLTK’s classifiers for intent detection.
- Pattern matching: Use regular expressions to match user queries.
- Reflections: Use NLTK’s reflections for simple conversation flow.