Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Accepted author manuscript, 127 KB, PDF document
The aim of our work is to develop a software that could detect toxicity in the Russian segment of social media. In this paper, we investigated the problem of toxic detection in messages in Russian language. We implemented a set of features using selected vector models, trained some classifiers on the dataset about fourteen thousand annotated messages and compare results. Experiments were conducted with a calculation of accuracy, precision, and recall values. F1 measure reached the value 0.91, accuracy value is 0.87.
Translated title of the contribution | Классификация токсичных сообщений в социальных сетях |
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Original language | English |
Title of host publication | Science and Global Challenges of the 21st Century - Science and Technology - Proceedings of the International Perm Forum “Science and Global Challenges of the 21st Century” |
Subtitle of host publication | Proceedings of the International Perm Forum “Science and Global Challenges of the 21st Century” |
Editors | Alvaro Rocha, Ekaterina Isaeva |
Place of Publication | Cham |
Publisher | Springer Nature |
Pages | 60-65 |
Number of pages | 6 |
Edition | Springer |
ISBN (Electronic) | 978-3-030-89477-1 |
ISBN (Print) | 978-3-030-89476-4 |
DOIs | |
State | Published - 2022 |
Event | International Perm Forum on Science and Global Challenges of the 21st Century, 2021 - Perm, Russian Federation Duration: 18 Oct 2021 → 23 Oct 2021 |
Name | Lecture Notes in Networks and Systems |
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Volume | 342 LNNS |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference | International Perm Forum on Science and Global Challenges of the 21st Century, 2021 |
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Country/Territory | Russian Federation |
City | Perm |
Period | 18/10/21 → 23/10/21 |
ID: 97970958