EmotiWord: Affective lexicon creation with application to interaction and multimedia data

Nikos Malandrakis, Alexandros Potamianos, Elias Iosif, Shrikanth Narayanan

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

Abstract

We present a fully automated algorithm for expanding an affective lexicon with new entries. Continuous valence ratings are estimated for unseen words using the underlying assumption that semantic similarity implies affective similarity. Starting from a set of manually annotated words, a linear affective model is trained using the least mean squares algorithm followed by feature selection. The proposed algorithm performs very well on reproducing the valence ratings of the Affective Norms for English Words (ANEW) and General Inquirer datasets. We then propose three simple linear and non-linear fusion schemes for investigating how lexical valence scores can be combined to produce sentence-level scores. These methods are tested on a sentence rating task of the SemEval 2007 corpus, on the ChIMP politeness and frustration detection dialogue task and on a movie subtitle polarity detection task.

Original languageEnglish
Title of host publicationComputational Intelligence for Multimedia Understanding - International Workshop, MUSCLE 2011, Revised Selected Papers
Pages30-41
Number of pages12
DOIs
Publication statusPublished - 2012
Externally publishedYes
EventInternational Workshop on Multimedia Understanding Through Semantics, Computation, and Learning, MUSCLE 2011 - Pisa, Italy
Duration: 13 Dec 201115 Dec 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7252 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Workshop on Multimedia Understanding Through Semantics, Computation, and Learning, MUSCLE 2011
Country/TerritoryItaly
CityPisa
Period13/12/1115/12/11

Keywords

  • affect
  • affective lexicon
  • emotion
  • language understanding

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