The scientific study of hate speech, from a computer science point of view, is recent. This
survey organizes and describes the current state of the field, providing a structured overview …

Social media is a more common and powerful platform for communication to share views
about any topic or article, which consequently leads to unstructured toxic, and hateful …

There is an enormous growth of social media which fully promotes freedom of expression
through its anonymity feature. Freedom of expression is a human right but hate speech …

The wanton spread of hate speech on the internet brings great harm to society and families.
It is urgent to establish and improve automatic detection and active avoidance mechanisms …

The use of the internet and social networks, in particular for communication, has significantly
increased in recent years. This growth has also resulted in the adoption of more aggressive …

This paper presents the approach of the team “groutar” to the shared task on Aggression
Identification, considering the test sets in English, both from Facebook and general Social …

The aim of sentiment analysis is to automatically extract the opinions from a certain text and
decide its sentiment. In this paper, we introduce the first publicly-available Twitter dataset on …

We study the performance of Arabic text classification combining various techniques:(a) tfidf
vs. dependency syntax, for feature selection and weighting;(b) class association rules vs …

To counter the online abusive language in social media, it is desirable to develop automated
detection methods. Previous research has primarily formulated this problem as a sentence …

Traditional search engines retrieve relevant web pages based on keywords in the entered
questions, while sometimes the required information may not be included in these keyword …