10Feb 2016 Text Analytics Part 3 Rupayan Banerjee

February 15, 2016


Report Abuse
Feature Selection
Feature Selection is the actual part where the text analytics take place. So how does this happen. For this let us go back a few steps. We started off by saying that we have a data of 1.6 million tweets each having a declared sentiment of good or bad. In this case we would try to understand the predictive power of a feature i.e. a word. For example the word traffic has a high predictive power means that whenever the word is used there is a higher possibility of the sentence being of a particular sentiment.