How does natural language processing work in AI chatbots?
An example of an AI chatbot conversation about how NLP enables chatbots to understand and respond to users.
How does natural language processing work in AI chatbots?
Natural language processing, or NLP, allows chatbots to understand and interpret human language. It involves several steps, including tokenization, parsing, and semantic analysis.
Can you explain tokenization?
Tokenization is the process of breaking down text into smaller units, called tokens. These can be words, phrases, or even sentences, which helps the chatbot analyze the structure of the input.
What is semantic analysis?
Semantic analysis involves understanding the meaning behind the words. It helps the chatbot grasp context and intent, allowing for more accurate responses.
How do chatbots learn from conversations?
Chatbots learn through machine learning algorithms that analyze past interactions. They improve over time by recognizing patterns and user preferences.
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