New Language Identification and Sentiment Analysis Modules for Social Media Communication
| Autoři | |
|---|---|
| Rok publikování | 2022 |
| Druh | Článek ve sborníku |
| Konference | International Conference on Text, Speech, and Dialogue |
| Fakulta / Pracoviště MU | |
| Citace | |
| www | https://link.springer.com/chapter/10.1007/978-3-031-16270-1_8 |
| Doi | http://dx.doi.org/10.1007/978-3-031-16270-1_8 |
| Klíčová slova | social media communication; language identification; sentiment analysis |
| Popis | 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. |
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