Text Analytics Concepts: TF-IDF, Bag-of-Words Explained with Examples

Understanding key natural language processing (NLP) concepts like TF-IDF with examples. TF-IDF is a word's importance score in a document in a document, among N documents.
0:00 Text Analytics
2:37 Outline: Preprocessing, Document representation, Word importance (TF-IDF), Latent Semantic Indexing
3:12 Stemming Reduce words to their stems, e.g., compute, computing, computer
4:00 Bag-of-words model
6:26 TF-IDF
9:47 Vector Space Model
This is a lecture video of the Data and Visual Analytics (CSE6242/CX4242) course at Georgia Tech. Course website and lecture slides: poloclub.github.io/#cse6242
CSE6242 wk14 16 1 1 basics preprocessing; bag of words