Exploiting 5W annotations for opinion tracking

Authors:
Amitava Das;Björn Gambäck
Affiliations:
Norwegian University of Science and Technology, Trondheim, Norway;Norwegian University of Science and Technology, Trondheim, Norway
Venue:
Proceedings of the fifth workshop on Exploiting semantic annotations in information retrieval
Year:
2012

Citing 3
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Abstract

A system performing sentiment analysis needs some prior knowledge which can be acquired, for example, by manual annotation only or by expanding a human-annotated sentiment lexicon by automatic means. However, users are seldom interested in all sentimental aspects at once, but rather look for opinion changes of some person ("Who") during some time period ("When") and depending upon "What", "Where" or "Why" something happened. The paper describes the work necessary to obtain and utilize such 5W annotations.