))
Bag of Words in Natural Language Processing
Manage episode 311353550 series 3111581
Content provided by Sarvesh Bhatnagar. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sarvesh Bhatnagar or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
In this podcast episode we talk about bag of words model in natural language processing. Bag of Words model is simply a feature extraction method used in NLP. We mainly discuss about why bag of words model is required and what it is. In summary BOW is simply a set of tuples with words along with their frequency pairs.
To learn more about BOW : visit this
Gensim Introduction : visit this
Also, to support me do visit www.stacklearn.org
--- Send in a voice message: https://podcasters.spotify.com/pod/show/sarvesh-bhatnagar/message22 episodes
Share
