Python Chatbot Using Cosine Similarity I

Python Chatbot Using Cosine Similarity

I built a Python-based chatbot that uses cosine similarity to compare text and identify the closest matching response.

The project explores text similarity, vector-based comparison, and conversational interaction, demonstrating how mathematical techniques can be applied to build a simple chatbot.

Key Features

Text similarity matching: Uses cosine similarity to compare text representations.

Response selection: Identifies the closest matching candidate based on similarity scores.

Python development: Implements the chatbot's matching logic using Python.

Applied mathematics: Uses vector similarity to compare text representations.

Technical Approach

Cosine similarity measures the angle between two vectors to estimate how closely they align. When combined with an appropriate text vectorization method, it can help a chatbot match user messages with relevant stored responses.

Technologies

Python · Natural Language Processing (NLP) · Cosine Similarity

Project Source