User Interaction: The chatbot engages users in conversation, asking and responding to questions in a human-like manner.
Natural Language Processing: It employs NLP techniques to understand user input, tokenize sentences, and extract key information.
Response Generation: Based on the user's input, the chatbot generates appropriate responses using predefined patterns, rule-based systems, or machine learning models.
Integration: The chatbot can be integrated into various platforms such as websites, messaging applications, or command-line interfaces.
Extensibility: It can be extended with additional functionalities like sentiment analysis, language translation, or integration with external APIs.
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Posted Jan 26, 2024
Description: This Python project demonstrates the creation of a chatbot using natural language processing techniques and libraries such as NLTK or spaCy.