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ML-For-Beginners/translations/pcm/6-NLP
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README.md
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How to Start Wit Natural Language Processing

Natural language processing (NLP) na di way wey computer program fit sabi human language as e dey spoken and written – wey dem dey call natural language. E be one part of artificial intelligence (AI). NLP don dey exist for more than 50 years and e get im root for di field of linguistics. Di whole idea na to help machine sabi and process human language. Dis one fit help do things like spell check or machine translation. E get plenty real-life use for different areas, like medical research, search engines, and business intelligence.

Regional Topic: European Languages and Literature and Romantic Hotels for Europe ❤️

For dis part of di curriculum, dem go show you one of di most common ways wey machine learning dey work: natural language processing (NLP). E come from computational linguistics, and e be di bridge wey dey connect humans and machines through voice or text communication.

For dis lessons, we go learn di basics of NLP by building small conversational bots to see how machine learning dey help make di conversations dey more 'smart'. You go travel go back in time, dey chat with Elizabeth Bennett and Mr. Darcy from Jane Austen's classic novel, Pride and Prejudice, wey dem publish for 1813. After dat, you go learn more by studying sentiment analysis through hotel reviews for Europe.

Pride and Prejudice book and tea

Photo by Elaine Howlin on Unsplash

Lessons

  1. Introduction to natural language processing
  2. Common NLP tasks and techniques
  3. Translation and sentiment analysis with machine learning
  4. Preparing your data
  5. NLTK for Sentiment Analysis

Credits

Dis natural language processing lessons na Stephen Howell write am with ☕

Disclaimer:
Dis docu don use AI translation service Co-op Translator take translate am. Even though we dey try make sure say e correct, abeg no forget say automatic translation fit get mistake or no dey accurate well. Di original docu for di language wey dem first write am na di main correct one. For important information, e better make una use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.