[PDF][PDF] Lidoma at hope2023iberlef: Hope speech detection using lexical features and convolutional neural networks

M Shahiki-Tash, J Armenta-Segura… - Proceedings of the …, 2023 - ceur-ws.org
Hope speech can help to reduce hostile environments and alleviate illnesses and
depression, which makes it important to detect it automatically. In this paper, we present our …

[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 …

[PDF][PDF] Transformer-Based Hate Speech Detection for Multi-Class and Multi-Label Classification.

MG Yigezu, O Kolesnikova, G Sidorov, AF Gelbukh - IberLEF@ SEPLN, 2023 - ceur-ws.org
This paper focuses on identifying hate speech directed towards the LGBT+ community. The
study involves two tasks, track 1 and track 2, which use a multi-class approach to identify …

[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 …

Corpus creation and language identification for code-mixed Indonesian-Javanese-English Tweets

AF Hidayatullah, RA Apong, DTC Lai, A Qazi - PeerJ Computer Science, 2023 - peerj.com
With the massive use of social media today, mixing between languages in social media text
is prevalent. In linguistics, the phenomenon of mixing languages is known as code-mixing …

Selam@ dravidianlangtech: Sentiment analysis of code-mixed dravidian texts using svm classification

S Kanta, G Sidorov - Proceedings of the Third Workshop on …, 2023 - aclanthology.org
Sentiment analysis in code-mixed text written in Dravidian languages. Specifically, Tamil-
English and Tulu-English. This paper describes the system paper of the RANLP-2023 …

Language Identification and Normalization Techniques for Code-Mixed Text

A Mangla, RK Bansal, S Bansal - 2024 Sixth International …, 2024 - ieeexplore.ieee.org
With billions of users worldwide, social media platforms have developed into crucial
communication tools that enable the interchange of knowledge, ideas, and feelings …

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] Zavira at HOPE2023@ IberLEF: Hope Speech Detection from Text using TF-IDF Features and Machine Learning Algorithms.

Z Ahani, G Sidorov, O Kolesnikova, AF Gelbukh - IberLEF@ SEPLN, 2023 - ceur-ws.org
This paper presents the results of our participation in the shared task Multilingual Hope
Speech detection aimed at classifying texts into hope and non-hope categories. The task …

[PDF][PDF] Overview of CoLI-Tunglish: Word-level Language Identification in Code-mixed Tulu Text at FIRE 2023.

A Hegde, F Balouchzahi, S Coelho… - FIRE (Working …, 2023 - researchgate.net
Abstract Word-level Language Identification (LI) aims to identify the language of individual
words within a given sentence. It is a preliminary step in processing code-mixed text in …