Zobrazeno 1 - 10
of 725
pro vyhledávání: '"Hate speech classification"'
Autor:
Yang, Xilin
This study uses the cosine similarity ratio, embedding regression, and manual re-annotation to diagnose hate speech classification. We begin by computing cosine similarity ratio on a dataset "Measuring Hate Speech" that contains 135,556 annotated com
Externí odkaz:
http://arxiv.org/abs/2410.10153
Autor:
Kuncoro Hadi, Ema Utami
Publikováno v:
Jurnal Informatika, Vol 12, Iss 2, Pp 289-298 (2024)
Social media has emerged as one of the primary communication channels in the modern world, but it has simultaneously become a platform where hate speech can spread easily. This study attempts to evaluate the performance of a hate speech classificatio
Externí odkaz:
https://doaj.org/article/69fcd141d0e44306a024f4cfa3f80669
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Jurnal Informatika, Vol 11, Iss 2, Pp 73-79 (2024)
Hate speech refers to sentences or words that aim to demean or insult individuals, groups, or communities based on factors such as ethnicity, religion, race, or social class. In this study, Natural Language Processing (NLP) techniques were employed u
Externí odkaz:
https://doaj.org/article/afd3eb2e3de04f46a75d8132398cae6c
The shift of public debate to the digital sphere has been accompanied by a rise in online hate speech. While many promising approaches for hate speech classification have been proposed, studies often focus only on a single language, usually English,
Externí odkaz:
http://arxiv.org/abs/2212.02108
Autor:
Nandini, Durgesh, Schmid, Ute
There have been remarkable breakthroughs in Machine Learning and Artificial Intelligence, notably in the areas of Natural Language Processing and Deep Learning. Additionally, hate speech detection in dialogues has been gaining popularity among Natura
Externí odkaz:
http://arxiv.org/abs/2306.00021
As pointed out by several scholars, current research on hate speech (HS) recognition is characterized by unsystematic data creation strategies and diverging annotation schemata. Subsequently, supervised-learning models tend to generalize poorly to da
Externí odkaz:
http://arxiv.org/abs/2305.02637
Hate speech classification has been a long-standing problem in natural language processing. However, even though there are numerous hate speech detection methods, they usually overlook a lot of hateful statements due to them being implicit in nature.
Externí odkaz:
http://arxiv.org/abs/2208.13595
Autor:
Pitsilis, Georgios K.
Hate speech is a form of online harassment that involves the use of abusive language, and it is commonly seen in social media posts. This sort of harassment mainly focuses on specific group characteristics such as religion, gender, ethnicity, etc and
Externí odkaz:
http://arxiv.org/abs/2206.04162
Autor:
AlKhamissi, Badr, Diab, Mona
In this paper, we tackle the Arabic Fine-Grained Hate Speech Detection shared task and demonstrate significant improvements over reported baselines for its three subtasks. The tasks are to predict if a tweet contains (1) Offensive language; and wheth
Externí odkaz:
http://arxiv.org/abs/2205.07960