A review of feature selection in sentiment analysis using information gain and domain specific ontology

The contemporary web technology allows people to generate an unlimited amount of data online. People share their opinion, mostly in the form of writing, images or videos about facts, events or things through the web technologies. This is possible with the development of several social media platforms including Facebook and Twitter. The user-generated content on these platforms provides an important data that can be used to understand people's opinion about virtually every subject of discussion. Understanding peoples' sentiments and opinion using this data became an important field of research called sentiment analysis. Research on sentiment analysis began over a decade ago. Early works include An important concept in sentiment analysis is feature selection. Feature selection is a process of identifying and selecting most relevant features from a noisy data, thereby pruning irrelevant features and reducing the data dimension It is important in sentiment analysis due to the nature of the sentiment analysis data which is characterized by textual jargon.