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pro vyhledávání: '"Shivangi Chawla"'
Publikováno v:
2022 IEEE 7th International conference for Convergence in Technology (I2CT).
Autor:
Shivangi Chawla, Monica Mehrotra
Publikováno v:
Informatica. 45
Emotions present in social media content shape its diffusion. This study seeks to comprehensively examine the impact created by emotions of a social media message on its diffusion. Centered on a non-domain specific Twitter dataset, the authors define
Autor:
Monica Mehrotra, Shivangi Chawla
Publikováno v:
International Journal of Advanced Computer Science and Applications. 11
Textual Emotion Mining (TEM) tackles the problem of analyzing the text in terms of the emotions, it expresses or evokes. It focuses on a series of approaches, methods, and tools to help understand human emotions. The understanding would play a pivota
Autor:
Shivangi Chawla, Monica Mehrotra
Publikováno v:
Futuristic Trends in Networks and Computing Technologies ISBN: 9789811544507
Textual Emotion Mining (TEM) is extensively a widespread and established research problem. It has got a substantial amount of research attention in the previous decade. Over the parallel period, deep learning approaches have demonstrated remarkable s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e168d7540b3a84ff6f5dbda450110969
https://doi.org/10.1007/978-981-15-4451-4_23
https://doi.org/10.1007/978-981-15-4451-4_23
Autor:
Shivangi Chawla
Publikováno v:
International Journal of Advanced Research in Computer Science. 9:860-863
Autor:
Shivangi Chawla, Monica Mehrotra
Publikováno v:
2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO).
The profusion of social media textual content coupled with emotion mining methodologies, present exciting opportunities for researches to unveil the hidden emotions behind these texts. Despite recent growth and development in the field of Textual Emo