Operating machine learning across natural language processing techniques for improvement of fabricated news model

K Sharifani, M Amini, Y Akbari… - … Journal of Science …, 2022 - papers.ssrn.com
Fake news or fabricated news, refers to false information published under the guise of being
authentic news, often to influence political views. Fabricated news articles are a threat to …

Overview of the clef–2022 checkthat! lab on fighting the covid-19 infodemic and fake news detection

P Nakov, A Barrón-Cedeño, G da San Martino… - … conference of the cross …, 2022 - Springer
We describe the fifth edition of the CheckThat! lab, part of the 2022 Conference and Labs of
the Evaluation Forum (CLEF). The lab evaluates technology supporting tasks related to …

Text-based emotion detection and applications: a literature review

MN Alrasheedy, RC Muniyandi… - … conference on cyber …, 2022 - ieeexplore.ieee.org
Emotion Detection is the sentiment analysis process used to extract emotions from the text
that best represent the author's mental state. In recent years, the emotion detection domain …

Low-resource neural machine translation improvement using source-side monolingual data

AL Tonja, O Kolesnikova, A Gelbukh, G Sidorov - Applied Sciences, 2023 - mdpi.com
Despite the many proposals to solve the neural machine translation (NMT) problem of low-
resource languages, it continues to be difficult. The issue becomes even more complicated …

[PDF][PDF] Overview of the CLEF-2022 CheckThat! Lab: Task 3 on Fake News Detection.

J Köhler, GK Shahi, JM Struß, M Wiegand… - CLEF (Working …, 2022 - ceur-ws.org
This paper describes the results of the CheckThat! Lab 2022 Task 3. This is the fifth edition
of the lab, which concentrates on the evaluation of technologies supporting three tasks …

[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 …

Word level language identification in code-mixed kannada-english texts using traditional machine learning algorithms

MS Tash, Z Ahani, A Tonja, M Gemeda… - Proceedings of the …, 2022 - aclanthology.org
Abstract Language Identification at the Word Level in Kannada-English Texts. This paper de-
scribes the system paper of CoLI-Kanglish 2022 shared task. The goal of this task is to …

Transformer-based model for word level language identification in code-mixed kannada-english texts

AL Tonja, MG Yigezu, O Kolesnikova, MS Tash… - arxiv preprint arxiv …, 2022 - arxiv.org
Using code-mixed data in natural language processing (NLP) research currently gets a lot of
attention. Language identification of social media code-mixed text has been an interesting …

Analysis and classification of fake news using sequential pattern mining

MZ Nawaz, MS Nawaz… - Big Data Mining and …, 2024 - ieeexplore.ieee.org
Disinformation, often known as fake news, is a major issue that has received a lot of
attention lately. Many researchers have proposed effective means of detecting and …

Habesha@ dravidianlangtech: Abusive comment detection using deep learning approach

MG Yigezu, S Kanta, O Kolesnikova… - Proceedings of the …, 2023 - aclanthology.org
This research focuses on identifying abusive language in comments. The study utilizes deep
learning models, including Long Short-Term Memory (LSTM) and Recurrent Neural …