Sentiment Emotion Scoring for Real Time Tweets

Abstract

Sentimental analysis is the most interesting topic on social media and utilized in web applications. Sentiment analysis is all about expressing their emotions and opinions on a specific topic or on the actual product within the sort of reviews and tweets. Sentiment analysis can express their emotions within the sort of positive, negative or within the sort of neutral. Some of the benefits of sentiment analysis are we can develop a more insightful, databased marketing strategy. Nothing beats data-based strategy, understand between customers, we can easily find the industry leaders and influencers etc. In our proposed system, the dataset chosen for sentiment classification is recent apple mobile dataset from real time tweets . We examine sentiment classification on Twitter data. In this paper (1) We introduce real time tweets. (2) We explore subjective information on real time tweets which includes opinions, attitudes, emotions, and feelings. It improves accuracy and solves several sentiment assessment challenges.