Python Natural Language Processing

Understanding TF-IDF

This is a very simple but useful concept. It actually indicates how many times a particular word appears in the dataset and what the importance of the word is in order to understand the document or dataset. Let's give you an example. Suppose you have a dataset where students write an essay on the topic, My Car. In this dataset, the word a appears many times; it's a high frequency word compared to other words in the dataset. The dataset contains other words like car, shopping, and so on that appear less often, so their frequency are lower and they carry more information compared to the word, a. This is the intuition behind TF-IDF.

Let's explain this concept in detail. Let's also look at its mathematical aspect. TF-IDF ...