Add to ORKGThe purpose of this thesis was to implement a Deep Learning Model to classify the toxicity of online comments. The main focus was on analysing the sentiment of sentences and on classifying this into categories. The data was collected from Jigsaw Unintended Bias in Toxicity Classification competition on Kaggle
This article focuses on the problem of detecting toxicity in online discussions. Toxicity is current...
Today, increasing numbers of people are interacting online and a lot of textual comments are being p...
Trained models & code to predict toxic comments on 3 Jigsaw challenges: Toxic comment classification...
Toxic comments are the comments found in the online forums that are rude, offensive, or unfair and u...
Nowadays users leave numerous comments on different social networks, news portals, and forums. Some ...
Social media has become an essential facet of modern society, wherein people share their opinions on...
The digital landscape has blossomed thanks to the surge of online platforms, boosting the variety an...
With the growth of the Internet and data collection in the last twenty years, we have seen a rise wi...
Building a multi headed model thats capable of detecting different types of toxicity like threats, o...
With the rising surge of online toxicity, automating the identification of abusive language becomes ...
Due to the development in e-commerce, social media channels like twitter and Facebook flood of Infor...
As the role of online platforms has become increasingly prominent for communication, toxic behaviors...
Social media sites and online forums have struggled with the issue of harassment and hateful speech ...
In the current century, social media has created many job opportunities and has become a unique plac...
Today, increasing numbers of people are interacting online and a lot of textual comments are being p...
This article focuses on the problem of detecting toxicity in online discussions. Toxicity is current...
Today, increasing numbers of people are interacting online and a lot of textual comments are being p...
Trained models & code to predict toxic comments on 3 Jigsaw challenges: Toxic comment classification...
Toxic comments are the comments found in the online forums that are rude, offensive, or unfair and u...
Nowadays users leave numerous comments on different social networks, news portals, and forums. Some ...
Social media has become an essential facet of modern society, wherein people share their opinions on...
The digital landscape has blossomed thanks to the surge of online platforms, boosting the variety an...
With the growth of the Internet and data collection in the last twenty years, we have seen a rise wi...
Building a multi headed model thats capable of detecting different types of toxicity like threats, o...
With the rising surge of online toxicity, automating the identification of abusive language becomes ...
Due to the development in e-commerce, social media channels like twitter and Facebook flood of Infor...
As the role of online platforms has become increasingly prominent for communication, toxic behaviors...
Social media sites and online forums have struggled with the issue of harassment and hateful speech ...
In the current century, social media has created many job opportunities and has become a unique plac...
Today, increasing numbers of people are interacting online and a lot of textual comments are being p...
This article focuses on the problem of detecting toxicity in online discussions. Toxicity is current...
Today, increasing numbers of people are interacting online and a lot of textual comments are being p...
Trained models & code to predict toxic comments on 3 Jigsaw challenges: Toxic comment classification...