Lidoma@ dravidianlangtech: Convolutional neural networks for studying correlation between lexical features and sentiment polarity in tamil and tulu languages

M Tash, J Armenta-Segura, Z Ahani… - Proceedings of the …, 2023 - aclanthology.org
With the prevalence of code-mixing among speakers of Dravidian languages,
DravidianLangTech proposed the shared task on Sentiment Analysis in Tamil and Tulu at …

Overview of hope at iberlef 2023: Multilingual hope speech detection

SM Jiménez-Zafra, MÁ Garcia-Cumbreras… - … del lenguaje natural, 2023 - journal.sepln.org
Hope speech is the speech that is able to relax hostile environments and that helps, inspires
and encourages people in times of illness, stress, loneliness or depression. Its automatic …

[PDF][PDF] Lidoma at homomex2023@ iberlef: Hate speech detection towards the mexican spanish-speaking lgbt+ population. the importance of preprocessing before …

M Shahiki-Tash, J Armenta-Segura, Z Ahani… - Proceedings of the …, 2023 - ceur-ws.org
Hate speech targeting LGBT+ individuals poses a deeply ingrained problem with wide-
ranging consequences, encompassing substance abuse disorders and discrimination …

Analyzing hope speech from psycholinguistic and emotional perspectives

M Arif, M Shahiki Tash, A Jamshidi, F Ullah, I Ameer… - Scientific reports, 2024 - nature.com
Hope is a vital coping mechanism, enabling individuals to effectively confront life's
challenges. This study proposes a technique employing Natural Language Processing …

[PDF][PDF] Multiclass hope speech detection through transformer methods

Z Ahani, MS Tash, M Tash, A Gelbukh… - Proceedings of the …, 2024 - ceur-ws.org
Hope includes the belief and expectations that we have for the realization of desired events.
It is a hopeful prospect or expectation that positive circumstances will unfold or conditions …

[PDF][PDF] Hope speech in social media texts using transformer

GY Bade, O Koleniskova, JL Oropeza… - Proceedings of the …, 2024 - ceur-ws.org
Abstract Systems to regulate and remove hateful, abusive, and offensive content from the
internet have been developed in the last several years. But occasionally, those in positions …

[PDF][PDF] Hope@ iberlef 2024: Beyond binary bounds—classifying hope in online discourse

A Naseeb, KL Eyob, G Sidorov… - Proceedings of the Iberian …, 2024 - ceur-ws.org
This study uses binary classification algorithms to investigate the detection of" hope speech"
in Twitter messages. Hope speech expresses the possibility of positive outcomes in the face …

Utilizing deep learning models for the identification of enhancers and super-enhancers based on genomic and epigenomic features

Z Ahani, M Shahiki Tash… - Journal of Intelligent …, 2024 - content.iospress.com
Super-enhancers are a category of active super-enhancers densely occupied by
transcription factors and chromatin regulators, controlling the expression of disease-related …

Lidoma@ LT-EDI 2024: Tamil Hate Speech Detection in Migration Discourse

M Tash, Z Ahani, M Zamir, O Kolesnikova… - Proceedings of the …, 2024 - aclanthology.org
The exponential rise in social media users has revolutionized information accessibility and
exchange. While these platforms serve various purposes, they also harbor negative …

[PDF][PDF] Hate and Offensive Content Identification in Indo-Aryan Languages using Transformer-based Models.

OE Ojo, OO Adebanji, H Calvo, AF Gelbukh… - FIRE (Working …, 2023 - researchgate.net
Open exchange of hate speech, insults, derogatory remarks, and obscenities on social
media platforms can undermine objective discourse and facilitate radicalization by …