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Natural Language Processing for Building AI based Applications | Use Cases(NLP in AI)
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Word and Sentence Tokenization Explained | NLP Concepts for Building AI Applications
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Stop Words Explained in Natural Language Processing | NLP Concepts for Building AI Applications
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Word Stemming Explained in Natural Language Processing | NLP Concepts for Building AI Applications
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Lemmatization Explained in Natural Language Processing | NLP Concepts for Building AI Applications
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Word Embedding Introduction for Sentiment Analysis LSTM Model | Contextual Grouping of Words
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How to Build a Word2Vec model for Word Embedding - Part 1 | Gensim library to Train Word2Vec Model
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Generate Word Embedding using Word2Vec & Gensim - Part 2 | See the Magic of Word2Vec in Action
Description:
This course provides an understanding of natural language processing, its tools, techniques, philosophy and principle. It will cover Tokenization, Stop Words and Word Embedding.

Natural Language Processing

The AI University
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#Computer Science #Artificial Intelligence #Natural Language Processing (NLP) #Sentiment Analysis #Machine Learning #Word Embeddings #Computational Linguistics #Lemmatization
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Natural Language Processing for Building AI based Applications | Use Cases(NLP in AI)