Natural language processing

Partner: Udemy
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Description: This course provides a comprehensive introduction to Natural Language Processing (NLP) – a field at the intersection of computer science, artificial intelligence, and linguistics that focuses on the interaction between computers and human language.Students will learn how machines process, analyze, and understand human language through text and speech. The course covers key NLP techniques such as text preprocessing, tokenization, part-of-speech tagging, named entity recognition, sentiment analysis, language modeling, and text classification. Through a series of projects and assignments, learners will get experience building real-world NLP applications such as:Text summarizersSpam filtersSentiment analysis toolsQuestion answering systemsChatbotsKey Topics Covered:Basics of Natural Language ProcessingPhases of NLPText Preprocessing (Tokenization, Stemming, Lemmatization, Stop word Removal)Part-of-Speech (POS) TaggingFeature extractionTerm frequencyInverse document frequencyNamed Entity Recognition (NER)Sentiment AnalysisText ClassificationLanguage Modeling (n-grams, word embeddings)recurrent neural networksLong short term memoryAttention mechanismstransformer based modelsIntroduction to Deep Learning for NLP (using RNNs, LSTMs, Transformers)Practical Projects: Chatbots, Text Summarization, Machine TranslationBy the end of this course, learners will be able to:Unders
Category: Teaching & Academics > Engineering > Natural Language Processing (NLP)
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Price: 19.99
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Source: Impact
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