Learn Natural Language Processing using NLTK Course


Welcome to Learn Natural Language Processing using NLTK Online Course with live Instructor using an interactive cloud desktop environment DaDesktop. Experience remote live training using an interactive, remote desktop led by a human being!

#sentiment analysis Training #speech recognition Training

7 hours

1,656 €


What is Natural Language Processing using NLTK?


Natural Language Processing is a field of computer science and linguistics. Also known as NLP.

NLP studies lemmatisation, part-of-speech tagging, parsing, sentence boundary disambiguation, stemming, terminology extraction, lexical semantics, machine translation, named-entity recognition, natural language generation, optical character recognition, question answering, textual entailment, relationship extraction, sentiment analysis, text segmentation, word-sense disambiguation, automatic summarization, coreference, discourse analysis, speech recognition, speech segmentation, speech synthesis, word embedding, and decompounding.

Content

  • Scope of NLP
  • Tokenization and Chunking 
  • Text into sentences and sentences into words
  • Sentiment analysis
  • String matching algorithms and normalization techniques
  • Information retrieval and summarization
  • Various NLP in Python

 


Would you like to learn Learn Natural Language Processing using NLTK?


Simply, click the "Book" button of Learn Natural Language Processing using NLTK and proceed to the payment method. Enter your desired schedule of training. You will receive an email confirmation for Learn Natural Language Processing using NLTK and a representative / trainer will get in touch with you.


Course Category:

   Machine Learning Training


Course Schedules


Date Time
October 21, 2021 (Thursday) 09:30 AM - 04:30 PM
November 4, 2021 (Thursday) 09:30 AM - 04:30 PM
November 18, 2021 (Thursday) 09:30 AM - 04:30 PM
December 2, 2021 (Thursday) 09:30 AM - 04:30 PM
December 16, 2021 (Thursday) 09:30 AM - 04:30 PM
December 30, 2021 (Thursday) 09:30 AM - 04:30 PM
January 13, 2022 (Thursday) 09:30 AM - 04:30 PM


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