Opinion recognition on movie reviews by combining classifiers

Athanasia Koumpouri, Iosif Mporas, Vasileios Megalooikonomou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


In this paper we present a combined opinion recognition scheme based on discriminative algorithms, decision trees and probabilistic algorithms. The proposed scheme takes advantage of the information provided from each of the recognition models in decision level, in order to provide refined and more accurate opinion recognition results. The experimental results showed that the proposed combined scheme achieved an overall recognition performance of 87.90%, increasing the accuracy of our best-performing opinion recognition model by 3.5%.

Original languageEnglish
Title of host publicationSpeech and Computer - 17th International Conference, SPECOM 2015, Proceedings
EditorsAndrey Ronzhin, Rodmonga Potapova, Nikos Fakotakis
PublisherSpringer Nature
Number of pages8
ISBN (Print)9783319231310
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event17th International Conference on Speech and Computer, SPECOM 2015 - Athens, Greece
Duration: 20 Sept 201524 Sept 2015

Publication series

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


Conference17th International Conference on Speech and Computer, SPECOM 2015


  • Decision trees
  • Discriminative algorithms
  • Opinion mining
  • Probabilistic algorithms


Dive into the research topics of 'Opinion recognition on movie reviews by combining classifiers'. Together they form a unique fingerprint.

Cite this