It bridges the gap between computers and human communication by processing text and speech.
Key Components of NLP:
- Text Processing: Tokenization, stemming, and lemmatization to break down text into meaningful parts.
- Sentiment Analysis: Identifying emotions in text, useful for analyzing customer feedback.
- Speech Recognition: Converting spoken words into text, used in voice assistants like Siri and Alexa.
Applications of NLP:
- Chatbots & Virtual Assistants: AI-driven chatbots handle customer queries, improving user experience in businesses.
- Machine Translation: Tools like Google Translate help in breaking language barriers.
- Content Summarization: AI can generate concise summaries of lengthy documents, enhancing information accessibility.
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