Evaluating Compositional Approaches for Focus and Sentiment Analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3AQAD3IVL6" target="_blank" >RIV/00216208:11320/26:QAD3IVL6 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-031-92602-0_27" target="_blank" >http://dx.doi.org/10.1007/978-3-031-92602-0_27</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-92602-0_27" target="_blank" >10.1007/978-3-031-92602-0_27</a>

Result language

angličtina

Original language name

Evaluating Compositional Approaches for Focus and Sentiment Analysis

Original language description

This paper summarizes the results of evaluating a compositional approach for Focus Analysis (FA) in Linguistics and Sentiment Analysis (SA) in Natural Language Processing (NLP). While quantitative evaluations of compositional and non-compositional approaches in SA exist in NLP, similar quantitative evaluations are very rare in FA in Linguistics that deal with linguistic expressions representing focus or emphasis such as “it was John who left"". We fill this gap in research by arguing that compositional rules in SA also apply to FA because FA and SA are closely related meaning that SA is part of FA. Our compositional approach in SA exploits basic syntactic rules such as rules of modification, coordination, and negation represented in the formalism of Universal Dependencies (UDs) in English and applied to words representing sentiments from sentiment dictionaries. Some of the advantages of our compositional analysis method for SA in contrast to non-compositional analysis methods are interpretability and explainability. We test the accuracy of our compositional approach and compare it with a non-compositional approach VADER that uses simple heuristic rules to deal with negation, coordination and modification. In contrast to previous related work that evaluates compositionality in SA on long reviews, this study uses more appropriate datasets to evaluate compositionality. In addition, we generalize the results of compositional approaches in SA to compositional approaches in FA. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Lect. Notes Networks Syst.

ISBN

978-3-031-92601-3

ISSN

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e-ISSN

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Number of pages

17

Pages from-to

409-425

Publisher name

Springer Science and Business Media Deutschland GmbH

Place of publication

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Event location

London

Event date

Jan 1, 2026

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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