AN AUTOMATIC APPROACH TO FEATURE EXTRACTION

Manuela Angioni, Franco Tuveri

Abstract

The pervasive diffusion of social networks as common way to communicate and share information is becoming a valuable resource for analysts and decision makers. Reviews are used every day by common people or by companies who need to make decisions. It is evident that even the opinion monitoring is essential for listening to and taking advantage of the conversations of possible customers in a decision making process. Opinion Mining is a way to analyse opinions related to specific topics: products, services, tourist locations, etc. In this paper we propose an automatic approach to the extraction of feature terms, applying our experience in the semantic analysis of textual resources to Opinion Mining task and performing a contextualisation by means of semantic categorisation, and by a set of qualities associated to the sense expressed by adjectives and adverbs.

References

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Paper Citation


in Harvard Style

Angioni M. and Tuveri F. (2012). AN AUTOMATIC APPROACH TO FEATURE EXTRACTION . In Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-95-9, pages 473-476. DOI: 10.5220/0003714504730476


in Bibtex Style

@conference{icaart12,
author={Manuela Angioni and Franco Tuveri},
title={AN AUTOMATIC APPROACH TO FEATURE EXTRACTION},
booktitle={Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2012},
pages={473-476},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003714504730476},
isbn={978-989-8425-95-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - AN AUTOMATIC APPROACH TO FEATURE EXTRACTION
SN - 978-989-8425-95-9
AU - Angioni M.
AU - Tuveri F.
PY - 2012
SP - 473
EP - 476
DO - 10.5220/0003714504730476