TITLE: Bangla Text Dataset and Exploratory Analysis for Online Harassment Detection 

ABSTRACT: Being the seventh most spoken language in the world, the use of the Bangla
language online has increased in recent times. Hence, it has become very
important to analyze Bangla text data to maintain a safe and harassment-free
online place. The data that has been made accessible in this article has been
gathered and marked from the comments of people in public posts by celebrities,
government officials, athletes on Facebook. The total amount of collected
comments is 44001. The dataset is compiled with the aim of developing the
ability of machines to differentiate whether a comment is a bully expression or
not with the help of Natural Language Processing and to what extent it is
improper if it is an inappropriate comment. The comments are labeled with
different categories of harassment. Exploratory analysis from different
perspectives is also included in this paper to have a detailed overview. Due to
the scarcity of data collection of categorized Bengali language comments, this
dataset can have a significant role for research in detecting bully words,
identifying inappropriate comments, detecting different categories of Bengali
bullies, etc. The dataset is publicly available at
https://data.mendeley.com/datasets/9xjx8twk8p.
Being the seventh most spoken language in the world, the use of the Bangla
language online has increased in recent times. Hence, it has become very
important to analyze Bangla text data to maintain a safe and harassment-free
online place. The data that has been made accessible in this article has been
gathered and marked from the comments of people in public posts by celebrities,
government officials, athletes on Facebook. The total amount of collected
comments is 44001. The dataset is compiled with the aim of developing the
ability of machines to differentiate whether a comment is a bully expression or
not with the help of Natural Language Processing and to what extent it is
improper if it is an inappropriate comment. The comments are labeled with
different categories of harassment. Exploratory analysis from different
perspectives is also included in this paper to have a detailed overview. Due to
the scarcity of data collection of categorized Bengali language comments, this
dataset can have a significant role for research in detecting bully words,
identifying inappropriate comments, detecting different categories of Bengali
bullies, etc. The dataset is publicly available at
https://data.mendeley.com/datasets/9xjx8twk8p.
Bangla Text Dataset and Exploratory Analysis for Online Harassment Detection
http://arxiv.org/abs/2102.02478v1