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[HTML][HTML] A systematic review of hate speech automatic detection using natural language processing
With the multiplication of social media platforms, which offer anonymity, easy access and
online community formation and online debate, the issue of hate speech detection and …
online community formation and online debate, the issue of hate speech detection and …
A literature survey on multimodal and multilingual automatic hate speech identification
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 …
about any topic or article, which consequently leads to unstructured toxic, and hateful …
Fake news detection based on news content and social contexts: a transformer-based approach
Fake news is a real problem in today's world, and it has become more extensive and harder
to identify. A major challenge in fake news detection is to detect it in the early phase. Another …
to identify. A major challenge in fake news detection is to detect it in the early phase. Another …
[HTML][HTML] Is text preprocessing still worth the time? A comparative survey on the influence of popular preprocessing methods on Transformers and traditional classifiers
With the advent of the modern pre-trained Transformers, the text preprocessing has started
to be neglected and not specifically addressed in recent NLP literature. However, both from …
to be neglected and not specifically addressed in recent NLP literature. However, both from …
COVIDSenti: A large-scale benchmark Twitter data set for COVID-19 sentiment analysis
Social media (and the world at large) have been awash with news of the COVID-19
pandemic. With the passage of time, news and awareness about COVID-19 spread like the …
pandemic. With the passage of time, news and awareness about COVID-19 spread like the …
A comprehensive survey on word representation models: From classical to state-of-the-art word representation language models
Word representation has always been an important research area in the history of natural
language processing (NLP). Understanding such complex text data is imperative, given that …
language processing (NLP). Understanding such complex text data is imperative, given that …
Profiling hate speech spreaders on twitter task at PAN 2021
[EN] This overview presents the Author Profiling shared task at PAN 2021. The focus of this
year¿ s task is on determining whether or not the author of a Twitter feed is keen to spread …
year¿ s task is on determining whether or not the author of a Twitter feed is keen to spread …
Early identification of depression severity levels on reddit using ordinal classification
User-generated text on social media is a promising avenue for public health surveillance
and has been actively explored for its feasibility in the early identification of depression …
and has been actively explored for its feasibility in the early identification of depression …
Detection of homophobia and transphobia in YouTube comments
BR Chakravarthi - International Journal of Data Science and Analytics, 2024 - Springer
Users of online platforms have negative effects on their mental health as a direct result of the
spread of abusive content across social media networks. Homophobia are terms that refer to …
spread of abusive content across social media networks. Homophobia are terms that refer to …
Confronting abusive language online: A survey from the ethical and human rights perspective
The pervasiveness of abusive content on the internet can lead to severe psychological and
physical harm. Significant effort in Natural Language Processing (NLP) research has been …
physical harm. Significant effort in Natural Language Processing (NLP) research has been …