A comparison of stylometric and lexical features for web genre classification and emotion classification in blogs

E. Lex, A. Juffinger, M. Granitzer

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

Original languageEnglish
Title of host publication IEEE Computer Society: 7th International Workshop on Text-based Information Retrieval in Procceedings of 21th International Conference on Database and Expert Systems Applications (DEXA 10)
Pages10-14
DOIs
Publication statusPublished - 2010
EventInternational Conference on Database and Expert Systems Applications - Munich, Germany
Duration: 1 Sep 20144 Sep 2014

Conference

ConferenceInternational Conference on Database and Expert Systems Applications
CountryGermany
CityMunich
Period1/09/144/09/14

Keywords

  • machine learning
  • classification
  • feature engineering
  • information quality

ASJC Scopus subject areas

  • Computer Science(all)

Fields of Expertise

  • Information, Communication & Computing

Cite this

Lex, E., Juffinger, A., & Granitzer, M. (2010). A comparison of stylometric and lexical features for web genre classification and emotion classification in blogs. In IEEE Computer Society: 7th International Workshop on Text-based Information Retrieval in Procceedings of 21th International Conference on Database and Expert Systems Applications (DEXA 10) (pp. 10-14) https://doi.org/10.1109/DEXA.2010.24