Detecting Event-Related Links and Sentiments from Social Media Texts

Abstract: 

Nowadays, the importance of Social Media is constantly growing, as people often use such platforms to share mainstream media news and comment on the events that they relate to. As such, people no loger remain mere spectators to the events that happen in the world, but become part of them, commenting on their developments and the entities involved, sharing their opinions and distributing related content. This paper describes a system that links the main events detected from clusters of newspaper articles to tweets related to them, detects complementary information sources from the links they contain and subsequently applies sentiment analysis to classify them into positive, negative and neutral. In this manner, readers can follow the main events happening in the world, both from the perspective of mainstream as well as social media and the public's perception on them. This system is part of a media monitoring framework working live and it will be demonstrated using Google Earth.

Authors
Authors: 
TANEV Hristo, BALAHUR DOBRESCU Alexandra
Publication Year
Publication Year: 
2013
Type

Type:

Appears in Collections
Appears in Collections: 
Institute for the Protection and Security of the Citizen
Science Areas
JRC Institutes
Publisher
Publisher: 
Association for Computational Linguistics
Citation
Citation: 
51st Annual Meeting of the Association for Computational Linguistics - Proceedings of the Conference System Demonstrations p. 25-30