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Project
Fine-Grained Sentiment and Opinion Mining of Political Social Network Messages
This project aims to develop an annotated corpus for the purpose of fine-grained sentiment and opinion mining of social network messages. As a case study, we will monitor messages on politics in the run-up to the 2014 Belgian elections. We will annotate not only the sentiment expressed in the message in a more robust way, but also mark information on the opinion holder, the object of the opinion and the features of the object.
Date:1 Feb 2014 → 31 Dec 2014
Keywords:COMPUTER LINGUISTICS, CORPUS ANNOTATION, OPINION POLL, SOCIAL NETWORK SITES
Disciplines:Artificial intelligence, Cognitive science and intelligent systems, Linguistics, Theory and methodology of linguistics, Other languages and literary studies