NLP: Natural Language Processing (Text)
Aperçu des sections
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Description:
In this course, you will learn and understand the core concepts in natural language processing (NLP). You will also be able to implement those concepts in Python and/or R. You will be able to relate the concepts to the industry and research.
Some Topics:
Some topics as will be covered in the course: basic text processing, language modeling, initial data/text processing for NLP applications, POS Tagging, deep learning for language modeling, text categorization, text clustering, document representation, text summarization, topic modeling, Word Embedding, sentiment analysis, name entity recognition, Word2Vec, Glove, ElasticSearch.
Pre-Req:
Basic probability
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Discuss with the Participants
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Chat with the Participants
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NLP Problems to Solve as Assignments
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More Assignment Ideas
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Summarize text using Textrank
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Consulter Remettre un travail Recevoir une note
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Consulter Remettre un travail Recevoir une note
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Consulter Remettre un travail Recevoir une note
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Consulter Remettre un travail Recevoir une note
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Project
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