Object

Group publication title:

Token

Abstract:

This study investigates “key statistical instruments”, such as the mean or the sum, used in obtaining numeric polarity scores in lexicon-based tools for sentiment analysis. First, a large number of texts rated for sentiment intensity by independent human judges was collected. Next, 15 different sentiment lexicons were used to generate sets of numeric values for each of the texts. Then, the key statistical instruments were calculated on the basis of these results and compared with the corresponding human scoring using tests for association between paired samples. The results of these tests were further examined with the use of ANOVA and Tukey HSD post-hoc analysis. The broad conclusion drawn from the analysis is that the mean, all other things being equal, is the most reliable key statistical instrument for obtaining numeric polarity scores that are similar to scores provided by human assessors. These results may be of particular importance for both developers of lexiconbased programs performing sentiment analysis and users of such software packages

Place of publishing:

Kielce

Physical description:

S. 219-248

ISSN:

2299-5900

Publisher:

Wydawnictwo Uniwersytetu Jana Kochanowskiego w Kielcach

Date issued:

2021

Identifier:

oai:bibliotekacyfrowa.ujk.edu.pl:8009 ; doi:10.25951/4827

Language:

angielski

Is part of:

Token : A Journal of English Linguistics

Has part:

vol. 13/2021

Type:

tekst

Format:

application/pdf