EPISODE · Sep 13, 2020 · 2 MIN
Data Cleaning in Natural Language Provessing
from Code Logic · host Sarvesh Bhatnagar
In this episode we talk about various steps in data cleaning process in Natural Language Processing. Data cleaning is almost a given whenever you want to perform natural language processing onto the given text. Data cleaning in natural language processing involves tokenization, lowering the words, lemmatization, and so on. Aside from talking about that we also talk about how you can implement those briefly. To install codesnip mentioned in the last part open your terminal and write pip install codesnip
What this episode covers
In this episode we talk about various steps in data cleaning process in Natural Language Processing. Data cleaning is almost a given whenever you want to perform natural language processing onto the given text. Data cleaning in natural language processing involves tokenization, lowering the words, lemmatization, and so on. Aside from talking about that we also talk about how you can implement those briefly. To install codesnip mentioned in the last part open your terminal and write pip install codesnip
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Data Cleaning in Natural Language Provessing
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