Mining domain-specific dictionaries of opinion words

Pantelis Agathangelou, Ioannis Katakis, Fotios Kokkoras, Konstantinos Ntonas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)


The task of opinion mining has attracted interest during the last years. This is mainly due to the vast availability and value of opinions on-line and the easy access of data through conventional or intelligent crawlers. In order to utilize this information, algorithms make extensive use of word sets with known polarity. This approach is known as dictionary-based sentiment analysis. Such dictionaries are available for the English language. Unfortunately, this is not the case for other languages with smaller user bases. Moreover, such generic dictionaries are not suitable for specific domains. Domain-specific dictionaries are crucial for domain-specific sentiment analysis tasks. In this paper we alleviate the above issues by proposing an approach for domain-specific dictionary building. We evaluate our approach on a sentiment analysis task. Experiments on user reviews on digital devices demonstrate the utility of the proposed approach. In addition, we present NiosTo, a software that enables dictionary extraction and sentiment analysis on a given corpus.

Original languageEnglish
Title of host publicationWeb Information Systems Engineering – WISE 2014 - 15th International Conference, Proceedings
EditorsBoualem Benatallah, Azer Bestavros, Yannis Manolopoulos, Athena Vakali, Yanchun Zhang
PublisherSpringer Verlag
Number of pages16
ISBN (Print)9783319117485
Publication statusPublished - 2014
Externally publishedYes
Event15th International Conference on Web Information Systems Engineering, WISE 2014 - Thessaloniki, Greece
Duration: 12 Oct 201414 Oct 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8786 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference15th International Conference on Web Information Systems Engineering, WISE 2014


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