Bag of Words (BOW) | Feature Extraction | NLP | Python

⭐️ Content Description ⭐️
In this video, I have explained about bag of words in NLP. A bag-of-words is a representation of text that describes the occurrence of words within a document. It involves two things: A vocabulary of known words. A measure of the presence of known words.
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[@DataCraftersHub]

hi i need a solution for a problem

[@niyazhvaruspecials982]

Thank you for kind response sir successfully executed

[@nabiulfarhannabil5646]

Hey. Is there any way to visualise the BOW? Like the Train and Test data which are in BOW format. For SVM

[@HackersRealm]

Bow values will be bigger to visualise, depends on the dataset

[@niyazhvaruspecials982]

Getfeaturename method didn't work in my laptop in features extraction

[@HackersRealm]

what error you're facing?

[@niyazhvaruspecials982]

​@@HackersRealm Count vectorizer object has no attribute get_feature_names

[@HackersRealm]

@@niyazhvaruspecials982 could you use this function get_feature_names_out()