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@inproceedings{2222917,
author = {Sabol, Radoslav and Horák, Aleš},
address = {Cham},
booktitle = {International Conference on Text, Speech, and Dialogue},
doi = {http://dx.doi.org/10.1007/978-3-031-16270-1_8},
keywords = {social media communication; language identification; sentiment analysis},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Cham},
isbn = {978-3-031-16269-5},
pages = {89-101},
publisher = {Springer},
title = {New Language Identification and Sentiment Analysis Modules for Social Media Communication},
url = {https://link.springer.com/chapter/10.1007/978-3-031-16270-1_8},
year = {2022}
}
TY - JOUR
ID - 2222917
AU - Sabol, Radoslav - Horák, Aleš
PY - 2022
TI - New Language Identification and Sentiment Analysis Modules for Social Media Communication
PB - Springer
CY - Cham
SN - 9783031162695
KW - social media communication
KW - language identification
KW - sentiment analysis
UR - https://link.springer.com/chapter/10.1007/978-3-031-16270-1_8
N2 - 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.
ER -
SABOL, Radoslav and Aleš HORÁK. New Language Identification and Sentiment Analysis Modules for Social Media Communication. Online. In \textit{International Conference on Text, Speech, and Dialogue}. Cham: Springer, 2022, p.~89-101. ISBN~978-3-031-16269-5. Available from: https://dx.doi.org/10.1007/978-3-031-16270-1\_{}8.
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