Abstract

Emotion detection is the process of extracting emotion from human expression. Emotions may be expressed by facial expression, speech and even written text. The Affective Norms for English Words (ANEW) is a corpus that has been used in researches involving emotion detection. ANEW provides the score of valence, arousal, and dominance for each word. However, no information about the word definition is provided in ANEW. The goal of this research is to identify the correct definition of every word in ANEW as additional informations to improve its accuracy.

Original languageEnglish
Title of host publicationProceedings - 2018 International Seminar on Application for Technology of Information and Communication
Subtitle of host publicationCreative Technology for Human Life, iSemantic 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages253-256
Number of pages4
ISBN (Electronic)9781538674864
DOIs
Publication statusPublished - 27 Nov 2018
Event3rd International Seminar on Application for Technology of Information and Communication, iSemantic 2018 - Semarang, Indonesia
Duration: 21 Sept 201822 Sept 2018

Publication series

NameProceedings - 2018 International Seminar on Application for Technology of Information and Communication: Creative Technology for Human Life, iSemantic 2018

Conference

Conference3rd International Seminar on Application for Technology of Information and Communication, iSemantic 2018
Country/TerritoryIndonesia
CitySemarang
Period21/09/1822/09/18

Keywords

  • affective norms
  • emotion
  • word sense disambiguation

Fingerprint

Dive into the research topics of 'Searching Word Definitions in WordNet Based on ANEW Emotion Labels'. Together they form a unique fingerprint.

Cite this