Sentiment Manifestation of Kannada Tweets

Abstract

In the current world scenario, Internet has become a major platform for online learning, exchanging ideas and sharing opinions. Social networking sites like Twitter, Facebook, Instagram are rapidly gaining popularity as they allow people to share and express their views about topics, have discussion with different communities, or post messages across the world. The main goal of sentiment analysis is to detect and analyse attitude, opinions or sentiments in the text. Sentiment analysis has reached its popularity by extracting knowledge from huge amount data present online. The Process of analysis includes selecting features and opinion which is a challenging task in languages other than English. In this project, we have targeted one of the most promising and widely used social media platform- Twitter where opinions are shared as “Tweets”. We have specifically chosen the tweets made in Kannada and analyse the sentiment of those tweets. Kannada is a Dravidian language spoken majorly in the south Indian state of Karnataka, with minorities in all neighboring states. Emotion analysis is the method of defining and evaluating the emotions conveyed in textual data. Emotion detection and classification are straightforward tasks that can be completed based on the emotions conveyed in the text, such as fear, rage, happiness, sorrow, affection, motivation, or neutral.