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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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