Natural Language Processing (NLP)

Natural Language Processing (NLP) is a branch of AI that enables machines to understand, interpret, and generate human language. NLP powers applications like chatbots, translation services, sentiment analysis, and voice assistants.

Core Components of NLP

• Tokenization: Breaking text into words or sentences for analysis.
• Part-of-Speech Tagging: Identifying nouns, verbs, adjectives, etc.
• Named Entity Recognition (NER): Extracting entities such as names, locations, and dates.
• Sentiment Analysis: Detecting opinions, emotions, or attitudes in text.
• Language Generation: Creating human-like text using models like GPT.

Applications of NLP

• Chatbots and virtual assistants (e.g., Siri, ChatGPT)
• Language translation (e.g., Google Translate)
• Text summarization and content generation
• Sentiment and opinion analysis for marketing and social media
• Speech recognition and voice-enabled devices

Popular NLP Models

• GPT (Generative Pre-trained Transformer) – powerful text generation and conversation
• BERT (Bidirectional Encoder Representations from Transformers) – context-aware understanding
• T5 and other transformer-based models – flexible NLP applications

Learn More

Related articles:

• Deep Learning and Neural Networks
• Generative AI: Text, Image, Video

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