ToxLex_bn: A curated dataset of bangla toxic language derived from Facebook comment.

ABSTRACT: Toxic Language in social media is a newly emerging virtual disorder of human society. Detecting toxic language is an NLP task that requires a Dataset of utterances [1]. For the Bangla language, very few datasets have been developed on toxicity or similar concepts [2]. A dataset has been developed using user-generated content from Facebook and that will cover the demographic and thematic distribution of Bangla toxic language generated on the web. Therefore, 2207590 comments have been collected, annotated, and thus extract about 1959 unique bigrams as utterances, which were considered as base-entry of a toxic language dataset. The core derivatives of the dataset are bigram-based wordlists, which are annotated inductively and divided into 08 thematic classes that give some ideas on toxicity v

SUBMITTER: Rashid MMO 

PROVIDER: S-EPMC9256543 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature