Week 5 - BALT 4364 - Understanding Natural Language Processing

 Understanding Natural Language Processing



    A strong area of artificial intelligence called natural language processing (NLP) makes it possible for computers to comprehend and produce human language. Three primary NLP tasks are examined in Chapter 5: language modeling, sentiment analysis, and text categorization. The main goal of text classification is to classify written content. Examples of this include classifying news items by topic or identifying spam emails. Sentiment analysis delves deeper by identifying feelings and viewpoints in text, enabling companies to assess consumer satisfaction through social media posts or reviews. The basis of programs like ChatGPT is language modeling, which forecasts the subsequent words in a phrase and facilitates tasks like text generation, speech recognition, and translation. 

    Additionally, the chapter offers practical exercises for creating models with TensorFlow and LSTMs using real datasets. These illustrations demonstrate how NLP enhances automation, improves consumer insights, and makes smarter communication tools possible, all of which contribute to real-world value. All things considered, NLP is still revolutionizing how people engage with technology.

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