On Assessing the Sentiment of General Tweets

Abstract. With the explosion of publicly accessible social data, sentiment analysis has emerged as an important task with applications in e-commerce, politics, and social sciences. Hence, so far, researchers have largely focused on sentiment analysis of texts involving entities such as products, persons, institutions, and events. However, a significant amount of chatter on microblogging websites may not be directed at a particular entity. On Twitter, users share information on their general state of mind, details about how their day went, their plans for the next day, or just conversational chatter with other users. In this paper, we look into the problem of assessing the sentiment of publicly available general stream of tweets. Assessing the sentiment of such tweets helps us assess the overall sentiment being expressed in a geographic location or by a set of users (scoped through some means), which has applications in social sciences, psychology, and health sciences. The only prior eï...

• Type: Journal
• Year: 2015
• Where: AI
• Authors: Sifei Han, Ramakanth Kavuluru
• Keywords: AI 2015, Artificial Intelligence