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of 4 129
pro vyhledávání: '"sentiment detection"'
With the proliferation of social media posts in recent years, the need to detect sentiments in multimodal (image-text) content has grown rapidly. Since posts are user-generated, the image and text from the same post can express different or even cont
Externí odkaz:
http://arxiv.org/abs/2407.07026
Autor:
Pahari, Niraj, Shimada, Kazutaka
Code-switching entails mixing multiple languages. It is an increasingly occurring phenomenon in social media texts. Usually, code-mixed texts are written in a single script, even though the languages involved have different scripts. Pre-trained multi
Externí odkaz:
http://arxiv.org/abs/2402.04542
Publikováno v:
Моделирование и анализ информационных систем, Vol 30, Iss 4, Pp 394-417 (2023)
The article is devoted to the task of sentiment detecton of Russian sentences, which is understood as the author’s attitude on the sentence topic expressed through linguistic expression features. Today most studies on this subject utilize texts of
Externí odkaz:
https://doaj.org/article/2a0102673df14aec80a42da7964c0003
Autor:
Ojo, Olumide Ebenezer, Ta, Hoang Thang, Gelbukh, Alexander, Calvo, Hiram, Adebanji, Olaronke Oluwayemisi, Sidorov, Grigori
The use of transfer learning methods is largely responsible for the present breakthrough in Natural Learning Processing (NLP) tasks across multiple domains. In order to solve the problem of sentiment detection, we examined the performance of four dif
Externí odkaz:
http://arxiv.org/abs/2303.07292
Sentiment detection in software engineering (SE) has shown promise to support diverse development activities. However, given the diversity of SE platforms, SE-specific sentiment detection tools may suffer in performance in cross-platform settings. Re
Externí odkaz:
http://arxiv.org/abs/2301.06661
Akademický článek
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Akademický článek
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Sentiment detection is an important building block for multiple information retrieval tasks such as product recommendation, cyberbullying detection, and misinformation detection. Unsurprisingly, multiple commercial APIs, each with different levels of
Externí odkaz:
http://arxiv.org/abs/2204.10940
Compared with unimodal data, multimodal data can provide more features to help the model analyze the sentiment of data. Previous research works rarely consider token-level feature fusion, and few works explore learning the common features related to
Externí odkaz:
http://arxiv.org/abs/2204.05515
Autor:
Zamani, Nur Azmina Mohamad1 azmina@uitm.edu.my, Kamaruddin, Norhaslinda2 norhaslinda@tmsk.uitm.edu.my
Publikováno v:
Journal of Information Systems Engineering & Business Intelligence. Oct2023, Vol. 9 Issue 2, p147-160. 14p.