Textual affect detection in human computer interaction

  • Xia Mao*
  • , Lin Jiang
  • , Yuli Xue
  • *Corresponding author for this work

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

Abstract

In this paper we focus on the affect detection of the short text pervasively used in human computer interaction. The research intends to render the interaction more emotionally expressive. In order to estimate the affect in the short text, we construct an affect lexicon firstly. Then a set of extraction rules (ERs) is built to extract the semantic representation of each word. Finally, the affect state of the short text is represented with PAD values and computed through the manually made affect generation rules (AGRs). The evaluation of the results corresponds with the human subjective appraisal.

Original languageEnglish
Title of host publicationIntelligent Autonomous Systems 12 - Proceedings of the 12th International Conference, IAS 2012
PublisherSpringer Verlag
Pages239-247
Number of pages9
EditionVOL. 2
ISBN (Print)9783642339318
DOIs
StatePublished - 2013
Event12th International Conference on Intelligent Autonomous Systems, IAS 2012 - Jeju Island, Korea, Republic of
Duration: 26 Jun 201229 Jun 2012

Publication series

NameAdvances in Intelligent Systems and Computing
NumberVOL. 2
Volume194 AISC
ISSN (Print)2194-5357

Conference

Conference12th International Conference on Intelligent Autonomous Systems, IAS 2012
Country/TerritoryKorea, Republic of
CityJeju Island
Period26/06/1229/06/12

Keywords

  • PAD values
  • semantic
  • textual affect

Fingerprint

Dive into the research topics of 'Textual affect detection in human computer interaction'. Together they form a unique fingerprint.

Cite this