Sentiment classification using TF-1DF features and extended space forest ensemble

Nieqing Cao, Jingjing Cao, Haili Lu, Bing Li

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

Abstract

With the rapid development of electronic commerce, user-generated contents have become increasingly important for customers and suppliers who want to get more feedback. They also have attracted a great deal of attention in the academics. Particularly, making sentiment classifications for these contents is significant. Till now, it has been proved that ensemble method is available for sentiment classification in the theory and practice. Following this direction we propose a new feature construction method by taking advantage of TF-IDF method, and an extended space forest ensemble method under the framework of bagging is employed for sentiment classification. In the experiment part, we make a performance comparison among the extended ensemble method with different feature operators and the original one based on two base classifiers by using public sentiment dataset. The empirical results show that the extended space forest ensemble method with appropriate feature operator can greatly improved the effectiveness of sentiment classification.

Original languageEnglish
Title of host publicationProceedings of 2015 International Conference on Machine Learning and Cybernetics, ICMLC 2015
PublisherIEEE Computer Society
Pages526-532
Number of pages7
ISBN (Electronic)9781467372213
DOIs
Publication statusPublished - 30 Nov 2015
Externally publishedYes
Event14th International Conference on Machine Learning and Cybernetics, ICMLC 2015 - Guangzhou, China
Duration: 12 Jul 201515 Jul 2015

Publication series

NameProceedings - International Conference on Machine Learning and Cybernetics
Volume2
ISSN (Print)2160-133X
ISSN (Electronic)2160-1348

Conference

Conference14th International Conference on Machine Learning and Cybernetics, ICMLC 2015
Country/TerritoryChina
CityGuangzhou
Period12/07/1515/07/15

Keywords

  • Bagging
  • Extended Space Forest
  • Sentiment Classification
  • TF-BJF

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