-
Hate Speech Detection in Social Networks using Machine Learning and Deep Learning Methods
Hate speech on social media platforms like Twitter is a growing concern that poses challenges to maintaining a healthy online environment and fostering constructive communication. Effective detection and monitoring of hate speech are crucial for mitigating its adverse impact on individuals and communities. In this paper, we propose a comprehensive approach for hate speech detection on Twitter using both traditional machine learning and deep learning techniques. Our research encompasses a thorough comparison of these techniques to determine their effectiveness in identifying hate speech on Twitter.
-
Ethnolinguistic aspect of phraseological units сoncerning livestock
If we look at the history, culture, spiritual values of the nation, in close connection with the worldview, that we learn the nature of the national language; we delve into the structure of the language system. One of the main areas of linguistics is the consideration of language, language units together with human factors and human values. In recent years, we have focused on human factors and often spoke about the problem of language, the rational use of linguistic units and understanding language. Special attention is paid to cultural data about the national values, and language is increasingly being studied not only from the point of view of the individual (formal), but also from the point of view of values, conceptualization, and field.