Detecting Toxicity in News Articles: Application to Bulgarian

Dinkov, Yoan; Koychev, Ivan; Nakov, Preslav

doi:10.48550/arxiv.1908.09785

Cited by 1 publication

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“…Without doubt another direction for future development is the study of transfer learning and how it can be utilized for solving text analytics problems in Bulgarian. Studies already focused on this hot topic are [18,28,66,65].…”

Section: Discussionmentioning

confidence: 99%

“…In some studies, the research methodology and available linguistic resources simply do not allow application on text data in Bulgarian (or do allow it but at the price of worse results). In such cases, text data is translated from Bulgarian to English - [18,44]. The current review brings evidence that there are not many research articles focused on the applications of text analytics on practical problems.…”

Section: Discussionmentioning

confidence: 99%

“…The authors use a method for document classification which combines a rich set of hand-crafted features and a deep learning technique for text representation. [18] propose a methodology for detection of toxic content in news articles. They create a dataset with news articles in nine categories (eight different toxic categories plus one non-toxic).…”

Section: Practical Applications Of Text Analyticsmentioning

confidence: 99%

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Text Analytics in Bulgarian: An Overview and Future Directions

Hristova

2021

Cybernetics and Information Technologies

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Text analytics is becoming an integral part of modern business and economic research and analysis. However, the extent to which its application is possible and accessible varies for different languages. The main goal of this paper is to outline fundamental research on text analytics applied on data in Bulgarian. A review of key research articles in two main directions is provided – development of language resources for Bulgarian and experimenting with Bulgarian text data in practical applications. By summarizing the results of a large literature review, we draw conclusions about the degree of development of the field, the availability of language resources for the Bulgarian language and the extent to which text analytics has been applied in practical problems. Future directions for research are outlined. To the best of the author’s knowledge, this is the first study providing a comprehensive overview of progress in the field of text analytics in Bulgarian.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Practical Applications Of Text Analyticsmentioning

confidence: 99%

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