Timestamps: 00:00:00 TF-IDF 00:00:15 The problem with binary/frequency bag-of-words 00:01:03 Using relative frequency instead 00:01:50 Term Frequency (TF) 00:03:14 Inverse Document Frequency (IDF) 00:03:54 Getting a word's TF-IDF score 00:04:52 Variations of TF-IDF 00:05:49 DEMO: creating TF-IDF vectors with scikit-learn 00:08:41 DEMO: querying a corpus and ranking results 00:11:04 Benefits and shortcomings of TF-IDF
Timestamps:
00:00:00 TF-IDF
00:00:15 The problem with binary/frequency bag-of-words
00:01:03 Using relative frequency instead
00:01:50 Term Frequency (TF)
00:03:14 Inverse Document Frequency (IDF)
00:03:54 Getting a word's TF-IDF score
00:04:52 Variations of TF-IDF
00:05:49 DEMO: creating TF-IDF vectors with scikit-learn
00:08:41 DEMO: querying a corpus and ranking results
00:11:04 Benefits and shortcomings of TF-IDF
You are my hero, I'm sure you will achieve a-lot of social awareness soon enough, The job is amazing I love it!
Thank you!
Thank you!
Thanks for your vids
why aren't university teachers like you?
Bring end to end nlp projects videos