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Understanding Porter Stemmer Algorithm | Decoding NLP Libraries (NLTK)
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#stemming #porterstemmer #nlp #algorithm
In this video, we will understand in-detail the inner workings of stemming with Porter Stemmer Algorithm. We will also look into use-cases like when and where stemming is most helpful when dealing with natural language. In linguistic morphology and information retrieval, stemming is the process of reducing inflected (or sometimes derived) words to their word stem, base or root form generally a written word form. This video is part of "Decoding NLP Libraries" series, where the first library that we are decoding is python NLTK (Natural Language Toolkit)
⏩ OUTLINE:
0:00 - Background and Example
1:30 - Why stemming? When to apply stemming?
3:10 - Porter Stemming Algorithm
10:48 - Wrapping up
⏩ IMPORTANT LINKS
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Tools I use for making videos :)
#techviz #datascienceguy #textprocessing #preprocessing #informationretrieval #naturallanguageprocessing #nltk
In this video, we will understand in-detail the inner workings of stemming with Porter Stemmer Algorithm. We will also look into use-cases like when and where stemming is most helpful when dealing with natural language. In linguistic morphology and information retrieval, stemming is the process of reducing inflected (or sometimes derived) words to their word stem, base or root form generally a written word form. This video is part of "Decoding NLP Libraries" series, where the first library that we are decoding is python NLTK (Natural Language Toolkit)
⏩ OUTLINE:
0:00 - Background and Example
1:30 - Why stemming? When to apply stemming?
3:10 - Porter Stemming Algorithm
10:48 - Wrapping up
⏩ IMPORTANT LINKS
*********************************************
If you want to support me financially which totally optional and voluntary :) ❤️
*********************************************
*********************************************
Tools I use for making videos :)
#techviz #datascienceguy #textprocessing #preprocessing #informationretrieval #naturallanguageprocessing #nltk
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