Zobrazeno 1 - 10
of 3 270
pro vyhledávání: '"Tash A"'
This study performs analysis of Predictive statements, Hope speech, and Regret Detection behaviors within cryptocurrency-related discussions, leveraging advanced natural language processing techniques. We introduce a novel classification scheme named
Externí odkaz:
http://arxiv.org/abs/2409.02836
Autor:
Ahani, Zahra, Tash, Moein Shahiki, Balouchzahi, Fazlourrahman, Ramos, Luis, Sidorov, Grigori, Gelbukh, Alexander
Social support, conveyed through a multitude of interactions and platforms such as social media, plays a pivotal role in fostering a sense of belonging, aiding resilience in the face of challenges, and enhancing overall well-being. This paper introdu
Externí odkaz:
http://arxiv.org/abs/2411.02580
Stress is a common feeling in daily life, but it can affect mental well-being in some situations, the development of robust detection models is imperative. This study introduces a methodical approach to the stress identification in code-mixed texts f
Externí odkaz:
http://arxiv.org/abs/2410.06428
This study delves into the relationship between emotional trends from X platform data and the market dynamics of well-known cryptocurrencies Cardano, Binance, Fantom, Matic, and Ripple over the period from October 2022 to March 2023. Leveraging Senti
Externí odkaz:
http://arxiv.org/abs/2405.03084
Autor:
Monari, Dennis, Larkin, Jack, Machado, Pedro, Bird, Jordan J., Ihianle, Isibor Kennedy, Yahaya, Salisu Wada, Tash, Farhad Fassihi, Hasan, Md Mahmudul, Lotfi, Ahmad
Invasive signal crayfish have a detrimental impact on ecosystems. They spread the fungal-type crayfish plague disease (Aphanomyces astaci) that is lethal to the native white clawed crayfish, the only native crayfish species in Britain. Invasive signa
Externí odkaz:
http://arxiv.org/abs/2401.06157
Autor:
Muhammad Arif, Moein Shahiki Tash, Ainaz Jamshidi, Fida Ullah, Iqra Ameer, Jugal Kalita, Alexander Gelbukh, Fazlourrahman Balouchzahi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Hope is a vital coping mechanism, enabling individuals to effectively confront life’s challenges. This study proposes a technique employing Natural Language Processing (NLP) tools like Linguistic Inquiry and Word Count (LIWC), NRC-emotion-
Externí odkaz:
https://doaj.org/article/70df732c4fa648498a7f47c2100e1320
Publikováno v:
پژوهشهای مدیریت عمومی, Vol 17, Iss 64, Pp 137-158 (2024)
AbstractIn this research, the spatial efficiency coefficient of Business incubator of Iran's technology units has been analyzed for thirty provinces. For this purpose, by using data envelopment analysis method and the variable return model to the clu
Externí odkaz:
https://doaj.org/article/836a529b543241c5aa904cd7731d888e
Autor:
Dhesi, Saminder, Fontes, Laura, Machado, Pedro, Ihianle, Isibor Kennedy, Tash, Farhad Fassihi, Adama, David Ada
Deep learning constitutes a pivotal component within the realm of machine learning, offering remarkable capabilities in tasks ranging from image recognition to natural language processing. However, this very strength also renders deep learning models
Externí odkaz:
http://arxiv.org/abs/2302.11704
Autor:
Arif, Muhammad1 (AUTHOR), Shahiki Tash, Moein1 (AUTHOR), Jamshidi, Ainaz2 (AUTHOR), Ullah, Fida1 (AUTHOR), Ameer, Iqra3 (AUTHOR), Kalita, Jugal4 (AUTHOR), Gelbukh, Alexander1 (AUTHOR), Balouchzahi, Fazlourrahman1 (AUTHOR) fbalouchzahi2021@cic.ipn.mx
Publikováno v:
Scientific Reports. 10/12/2024, Vol. 14 Issue 1, p1-18. 18p.
Autor:
Tonja, Atnafu Lambebo, Yigezu, Mesay Gemeda, Kolesnikova, Olga, Tash, Moein Shahiki, Sidorov, Grigori, Gelbuk, Alexander
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 problem of study in recent years due to the advancement and influen
Externí odkaz:
http://arxiv.org/abs/2211.14459