Fact/Opinion Classification using the Naive Bayes Classifier and the Iterative Hyperlink-Induced Topic Search Algorithm

In this project, I replicated the key results from the paper, “A Novel Two-stage Framework for Extracting Opinionated Sentences from News Articles” (Pujari, Rajkumar. Desai, Swara. Ganguly, Niloy. Goyal, Pawan).

The project entails using a combination of the Naive Bayes classifier and the Hyperlink-Induced Topic Search (HITS) algorithm to carry out fact/opinion classification of the sentences in a given corpus.

Project’s Github Link

Written on November 29, 2017