Sentiment Analysis and Social Cognition Engine (SEANCE)

An automatic tool for sentiment, social cognition, and social-order analysis

Scott A. Crossley, Kristopher Kyle, Danielle McNamara

Research output: Contribution to journalArticle

28 Citations (Scopus)

Abstract

This study introduces the Sentiment Analysis and Cognition Engine (SEANCE), a freely available text analysis tool that is easy to use, works on most operating systems (Windows, Mac, Linux), is housed on a user’s hard drive (as compared to being accessed via an Internet interface), allows for batch processing of text files, includes negation and part-of-speech (POS) features, and reports on thousands of lexical categories and 20 component scores related to sentiment, social cognition, and social order. In the study, we validated SEANCE by investigating whether its indices and related component scores can be used to classify positive and negative reviews in two well-known sentiment analysis test corpora. We contrasted the results of SEANCE with those from Linguistic Inquiry and Word Count (LIWC), a similar tool that is popular in sentiment analysis, but is pay-to-use and does not include negation or POS features. The results demonstrated that both the SEANCE indices and component scores outperformed LIWC on the categorization tasks.

Original languageEnglish (US)
Pages (from-to)1-19
Number of pages19
JournalBehavior Research Methods
DOIs
StateAccepted/In press - May 18 2016

Fingerprint

Cognition
Linguistics
Internet
Sentiment
Social Cognition
Social Order

Keywords

  • Affect detection
  • Automatic tools
  • Corpus linguistics
  • Natural language processing
  • Opinion mining
  • Sentiment analysis

ASJC Scopus subject areas

  • Psychology(all)
  • Psychology (miscellaneous)
  • Experimental and Cognitive Psychology
  • Arts and Humanities (miscellaneous)
  • Developmental and Educational Psychology

Cite this

@article{89a2c10692ed44008ded391d630dc155,
title = "Sentiment Analysis and Social Cognition Engine (SEANCE): An automatic tool for sentiment, social cognition, and social-order analysis",
abstract = "This study introduces the Sentiment Analysis and Cognition Engine (SEANCE), a freely available text analysis tool that is easy to use, works on most operating systems (Windows, Mac, Linux), is housed on a user’s hard drive (as compared to being accessed via an Internet interface), allows for batch processing of text files, includes negation and part-of-speech (POS) features, and reports on thousands of lexical categories and 20 component scores related to sentiment, social cognition, and social order. In the study, we validated SEANCE by investigating whether its indices and related component scores can be used to classify positive and negative reviews in two well-known sentiment analysis test corpora. We contrasted the results of SEANCE with those from Linguistic Inquiry and Word Count (LIWC), a similar tool that is popular in sentiment analysis, but is pay-to-use and does not include negation or POS features. The results demonstrated that both the SEANCE indices and component scores outperformed LIWC on the categorization tasks.",
keywords = "Affect detection, Automatic tools, Corpus linguistics, Natural language processing, Opinion mining, Sentiment analysis",
author = "Crossley, {Scott A.} and Kristopher Kyle and Danielle McNamara",
year = "2016",
month = "5",
day = "18",
doi = "10.3758/s13428-016-0743-z",
language = "English (US)",
pages = "1--19",
journal = "Behavior Research Methods, Instruments, and Computers",
issn = "1554-351X",
publisher = "Springer New York",

}

TY - JOUR

T1 - Sentiment Analysis and Social Cognition Engine (SEANCE)

T2 - An automatic tool for sentiment, social cognition, and social-order analysis

AU - Crossley, Scott A.

AU - Kyle, Kristopher

AU - McNamara, Danielle

PY - 2016/5/18

Y1 - 2016/5/18

N2 - This study introduces the Sentiment Analysis and Cognition Engine (SEANCE), a freely available text analysis tool that is easy to use, works on most operating systems (Windows, Mac, Linux), is housed on a user’s hard drive (as compared to being accessed via an Internet interface), allows for batch processing of text files, includes negation and part-of-speech (POS) features, and reports on thousands of lexical categories and 20 component scores related to sentiment, social cognition, and social order. In the study, we validated SEANCE by investigating whether its indices and related component scores can be used to classify positive and negative reviews in two well-known sentiment analysis test corpora. We contrasted the results of SEANCE with those from Linguistic Inquiry and Word Count (LIWC), a similar tool that is popular in sentiment analysis, but is pay-to-use and does not include negation or POS features. The results demonstrated that both the SEANCE indices and component scores outperformed LIWC on the categorization tasks.

AB - This study introduces the Sentiment Analysis and Cognition Engine (SEANCE), a freely available text analysis tool that is easy to use, works on most operating systems (Windows, Mac, Linux), is housed on a user’s hard drive (as compared to being accessed via an Internet interface), allows for batch processing of text files, includes negation and part-of-speech (POS) features, and reports on thousands of lexical categories and 20 component scores related to sentiment, social cognition, and social order. In the study, we validated SEANCE by investigating whether its indices and related component scores can be used to classify positive and negative reviews in two well-known sentiment analysis test corpora. We contrasted the results of SEANCE with those from Linguistic Inquiry and Word Count (LIWC), a similar tool that is popular in sentiment analysis, but is pay-to-use and does not include negation or POS features. The results demonstrated that both the SEANCE indices and component scores outperformed LIWC on the categorization tasks.

KW - Affect detection

KW - Automatic tools

KW - Corpus linguistics

KW - Natural language processing

KW - Opinion mining

KW - Sentiment analysis

UR - http://www.scopus.com/inward/record.url?scp=84969802865&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84969802865&partnerID=8YFLogxK

U2 - 10.3758/s13428-016-0743-z

DO - 10.3758/s13428-016-0743-z

M3 - Article

SP - 1

EP - 19

JO - Behavior Research Methods, Instruments, and Computers

JF - Behavior Research Methods, Instruments, and Computers

SN - 1554-351X

ER -