Comparative Analyses of Multilingual Sentiment Analysis Systems for News and Social Media

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F23%3A43970158" target="_blank" >RIV/49777513:23520/23:43970158 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/book/10.1007/978-3-031-24340-0" target="_blank" >https://link.springer.com/book/10.1007/978-3-031-24340-0</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-24340-0_20" target="_blank" >10.1007/978-3-031-24340-0_20</a>

Result language

angličtina

Original language name

Comparative Analyses of Multilingual Sentiment Analysis Systems for News and Social Media

Original language description

In this paper, we present evaluation of three in-house sentiment analysis (SA) systems originally designed for three distinct SA tasks, in a highly multilingual setting. For the evaluation, we collected a large number of available gold standard datasets, in different languages and varied text types. The aim of using different domain datasets was to achieve a clear snapshot of the level of overall performance of the systems and thus obtain a better quality of an evaluation. We compare the results obtained with the best performing systems evaluated on their basis and performed an in-depth error analysis. Based on the results, we can see that some systems perform better for different datasets and tasks than the ones they were designed for, showing that we could replace one system with another and gain an improvement in performance. Our results are hardly comparable with the original dataset results because the datasets often contain a different number of polarity classes than we used, and for some datasets, there are even no basic results. For the cases in which a comparison was possible, our results show that our systems perform very well in view of multilinguality.

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

<a href="/en/project/EF17_048%2F0007267" target="_blank" >EF17_048/0007267: Research and Development of Intelligent Components of Advanced Technologies for the Pilsen Metropolitan Area (InteCom)</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

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

Article name in the collection

Computational Linguistics and Intelligent Text Processing

ISBN

978-3-031-24339-4

ISSN

0302-9743

e-ISSN

1611-3349

Number of pages

20

Pages from-to

260-279

Publisher name

Springer

Place of publication

Cam

Event location

La Rochelle, France

Event date

Apr 7, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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