Toxic comments are the comments found in the online forums that are rude, offensive, or unfair and usually cause many users to exit the conversation. The threat of bullying and abuse on the internet obstructs the free exchange of ideas by limiting people’s opposing viewpoints. Most of the Websites fail to successfully facilitate healthy conversations, leading them to either restrict or disable user comments entirely. This paper would explore the scope of online abuse and categorize them into different labels to assess the toxicity as accurately as possible using machine learning algorithms
The paper addresses the questions of abusive content identification in the Internet. It is presented...
The purpose of this thesis was to implement a Deep Learning Model to classify the toxicity of online...
As the role of online platforms has become increasingly prominent for communication, toxic behaviors...
Nowadays users leave numerous comments on different social networks, news portals, and forums. Some ...
With the growth of the Internet and data collection in the last twenty years, we have seen a rise wi...
The digital landscape has blossomed thanks to the surge of online platforms, boosting the variety an...
This paper presents a novel application of Natural Language Processing techniques to classify unstru...
In the current century, social media has created many job opportunities and has become a unique plac...
Social media sites and online forums have struggled with the issue of harassment and hateful speech ...
Due to the development in e-commerce, social media channels like twitter and Facebook flood of Infor...
This article focuses on the problem of detecting toxicity in online discussions. Toxicity is current...
Nowadays, communications made by using the modern Internet-based opportunities have revolutionized t...
With the rising surge of online toxicity, automating the identification of abusive language becomes ...
With time, numerous online communication platforms have emerged that allow people to express themsel...
Online social media platforms generally attempt to mitigate hateful expressions, as these comments c...
The paper addresses the questions of abusive content identification in the Internet. It is presented...
The purpose of this thesis was to implement a Deep Learning Model to classify the toxicity of online...
As the role of online platforms has become increasingly prominent for communication, toxic behaviors...
Nowadays users leave numerous comments on different social networks, news portals, and forums. Some ...
With the growth of the Internet and data collection in the last twenty years, we have seen a rise wi...
The digital landscape has blossomed thanks to the surge of online platforms, boosting the variety an...
This paper presents a novel application of Natural Language Processing techniques to classify unstru...
In the current century, social media has created many job opportunities and has become a unique plac...
Social media sites and online forums have struggled with the issue of harassment and hateful speech ...
Due to the development in e-commerce, social media channels like twitter and Facebook flood of Infor...
This article focuses on the problem of detecting toxicity in online discussions. Toxicity is current...
Nowadays, communications made by using the modern Internet-based opportunities have revolutionized t...
With the rising surge of online toxicity, automating the identification of abusive language becomes ...
With time, numerous online communication platforms have emerged that allow people to express themsel...
Online social media platforms generally attempt to mitigate hateful expressions, as these comments c...
The paper addresses the questions of abusive content identification in the Internet. It is presented...
The purpose of this thesis was to implement a Deep Learning Model to classify the toxicity of online...
As the role of online platforms has become increasingly prominent for communication, toxic behaviors...