Automatic generation of lexical resources for opinion mining: models, algorithms and applications

Authors:
Andrea Esuli
Affiliations:
Istituto di Scienza e Tecnologie dell'Informazione, Consiglio Nazionale delle Ricerche, Pisa - Italy
Venue:
ACM SIGIR Forum
Year:
2008

Citing 1
Cited 4

Determining the semantic orientation of terms through gloss classification

Proceedings of the 14th ACM international conference on Information and knowledge management

Social webconsciousness

Proceedings of the 1st ACM international workshop on Connected multimedia
Using predicate-argument structures for context-dependent opinion retrieval

ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part II
Collocation polarity disambiguation using web-based pseudo contexts

EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Can predicate-argument structures be used for contextual opinion retrieval from blogs?

World Wide Web

Quantified Score

Hi-index	0.00

Visualization

Abstract

Opinion mining is a recent discipline at the crossroads of Information Retrieval and of Computational Linguistics which is concerned not with the topic a document is about, but with the opinion it expresses. It has a rich set of applications, ranging from tracking users' opinions about products or about political candidates as expressed in online forums, to customer relationship management.