Adjectives and adverbs as indicators of affective language for automatic genre detection

Robert Rittman, Nina Wacholder

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We report the results of a systematic study of the feasibility of automatically classifying documents by genre using adjectives and adverbs as indicators of affective language. In addition to the class of adjectives and adverbs, we focus on two specific subsets of adjectives and adverbs: (1) trait adjectives, used by psychologists to assess human personality traits, and (2) speaker-oriented adverbs, studied by linguists as markers of narrator attitude. We report the results of our machine learning experiments using Accuracy Gain, a measure more rigorous than the standard measure of Accuracy. We find that it is possible to classify documents automatically by genre using only these subsets of adjectives and adverbs as discriminating features. In many cases results are superior to using the count of (a) nouns, verbs, or punctuation, or (b) adjectives and adverbs in general. In addition, we find that relatively few speaker-oriented adverbs are needed in the discriminant models. We conclude that at least in these two cases, the psychological and linguistic literature leads to identification of features that are quite useful for genre detection and for other applications in which identification of style and other non-topical characteristics of documents is important.

Original languageEnglish (US)
Title of host publicationAISB 2008 Convention
Subtitle of host publicationCommunication, Interaction and Social Intelligence - Proceedings of the AISB 2008 Symposium on Affective Language in Human and Machine
Pages65-72
Number of pages8
StatePublished - 2008
EventAISB 2008 Symposium on Affective Language in Human and Machine - Aberdeen, United Kingdom
Duration: Apr 1 2008Apr 4 2008

Publication series

NameAISB 2008 Convention: Communication, Interaction and Social Intelligence - Proceedings of the AISB 2008 Symposium on Affective Language in Human and Machine
Volume1

Other

OtherAISB 2008 Symposium on Affective Language in Human and Machine
Country/TerritoryUnited Kingdom
CityAberdeen
Period4/1/084/4/08

All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Human-Computer Interaction
  • Linguistics and Language

Fingerprint

Dive into the research topics of 'Adjectives and adverbs as indicators of affective language for automatic genre detection'. Together they form a unique fingerprint.

Cite this