Detailed Information on Publication Record
2022
New Language Identification and Sentiment Analysis Modules for Social Media Communication
SABOL, Radoslav and Aleš HORÁKBasic information
Original name
New Language Identification and Sentiment Analysis Modules for Social Media Communication
Authors
SABOL, Radoslav (703 Slovakia, belonging to the institution) and Aleš HORÁK (203 Czech Republic, guarantor, belonging to the institution)
Edition
Cham, International Conference on Text, Speech, and Dialogue, p. 89-101, 13 pp. 2022
Publisher
Springer
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
References:
Impact factor
Impact factor: 0.402 in 2005
RIV identification code
RIV/00216224:14330/22:00126824
Organization unit
Faculty of Informatics
ISBN
978-3-031-16269-5
ISSN
UT WoS
000866222300008
Keywords in English
social media communication; language identification; sentiment analysis
Tags
Tags
Reviewed
Změněno: 28/3/2023 11:59, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
In the presented paper, we describe the development and evaluation of new modules specifically designed for language identification and sentiment analysis of informal business communication inside a large international company. Besides the details of the module architectures, we offer a detailed comparison with other state-of-the-art tools for the same purpose and achieve an improvement of 10–13 % in accuracy with selected problematic datasets.
Links
| LM2018101, research and development project |
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