MemeTube: A Sentiment-based Audiovisual System for Analyzing and Displaying Microblog Messages

Cheng-Te Li, Chien-Yuan Wang, Chien-Lin Tseng, Shou-De Lin

Abstract: Micro-blogging services provide platforms for users to share their feelings and ideas on the move. In this paper, we present a search-based demonstration system, called MemeTube, to summarize the sentiments of microblog messages in an audiovisual manner. MemeTube provides three main functions: (1) recognizing the sentiments of messages (2) generating music melody automatically based on detected sentiments, and (3) produce an animation of real-time piano playing for audiovisual display. Our MemeTube system can be accessed via: http://mslab.csie.ntu.edu.tw/memetube/.