Advancing natural language processing (NLP) applications of morphologically rich languages with bidirectional encoder representations from transformers (BERT): an …
Sažetak Language model pre-training architectures have demonstrated to be useful to learn
language representations. bidirectional encoder representations from transformers (BERT) …
language representations. bidirectional encoder representations from transformers (BERT) …
Online toxicity against Syrians in Turkish Twitter: Analysis and implications
H Mulki, S Alabdullah, A Halil, N Al-Ali… - International Journal of …, 2023 - ijoc.org
This study examines the portrayal of Syrians on Turkish Twitter between January and August
2021 through a big data analysis of more than 30,000 tweets. We employ the concept of …
2021 through a big data analysis of more than 30,000 tweets. We employ the concept of …
A Cross-Validation Study of Turkish Sentiment Analysis Datasets and Tools
Ş Çakıcı, D Karaduman, MA Çırlan… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, sentiment analysis has gained increasing significance, prompting
researchers to explore datasets in various languages, including Turkish. However, the …
researchers to explore datasets in various languages, including Turkish. However, the …
Sentiment analysis in turkish using transformer-based deep learning models
Social media, e-commerce, review, and blogging websites have become important sources
of knowledge as information and communication technology has advanced. Individuals can …
of knowledge as information and communication technology has advanced. Individuals can …
Die optimierte Erkennung von Hassrede in digitalen Medien durch sprachspezifisches Preprocessing in Sentimentanalysen
KA Munjal - 2023 - publikationsserver.thm.de
Die Erkennung von Beleidigungen in digitaler Kommunikation ist immernoch eine Hürde,
vor allem in weniger verbreiteten Sprachen. Während für Englisch zahlreiche Ressourcen …
vor allem in weniger verbreiteten Sprachen. Während für Englisch zahlreiche Ressourcen …
Sentiment classification of arabic tweets using a novel learning sentiment-specific word embedding technique
H Mulki - 2019 - acikerisim.selcuk.edu.tr
Özet The intensive use of social media during the" Arab Spring" incidents, has led to a
sudden growth of the online Arabic opinionated content. Sentiment Analysis can recognize …
sudden growth of the online Arabic opinionated content. Sentiment Analysis can recognize …