HISSIY HOLATNI BAHOLASH USULLARINI ANIQLASH
Abstrak
Ushbu maqola inson his-tuyg'ularini baholash bo'yicha algoritmik tushunchalarni taqdim etishga qaratilgan bo'lib, erishilgan taraqqiyot va hali ham mavjud muammolarni ta'kidlaydi. Mashinani o'rganish algoritmlari va hissiyotlarni tahlil qilish orqali tadqiqotchilar robotlar ifoda etadigan his-tuyg'ular va iste'molchilarga qanday ta'sir qilishlari haqida qimmatli ma'lumotlarni topishga muvaffaq bo'lishdi. Ushbu intizomiy tadqiqotlar sun'iy intellektni tadqiq qilishda, xususan, maishiy xizmat ko'rsatish va tajriba sharoitida keyingi darajadagi ijtimoiy, dizayn va ijodiy tajribalarga yo'l ochadi.
Yuklashlar
##submission.citations##
KURBANOV A.A. Multimodal emotion recognition: a comprehensive survey with deep learning. Journal of Research and Innovation, pp. 43-47. 2023
Kurbanov Abdurahmon Alishboyevich. A Methodological Approach to Understanding Emotional States Using Textual Data. Journal of Universal Science Research. 2023
Kurbanov Abdurahmon. AI MODELS OF AFFECTIVE COMPUTING.
International Conference of Contemporary Scientific and Technical Research. 2023
Kurbanov Abdurahmon Alishboyevich. USING AFFECTIVE COMPUTING SYSTEMS IN MODERN EDUCATION. Journal Science and innovation. 2023
Atzeni, Recupero, 2020 M. Atzeni, D.R. Recupero Multi-domain sentiment analysis with mimicked and polarized word embeddings for human–robot interaction. Future Generat. Comput. Syst., 110 (2020), pp. 984-999
Kamolov, Dostonbek Rustam O’G’Li. "O'ZBEKISTONDA DEMOKRATIYA VA AXLOQNING ZAMONAVIY MUAMMOLARI VA YECHIMLARI." Academic research in educational sciences 3.NUU Conference 2 (2022): 348-352.
Chatterjee et al., 2019 A. Chatterjee, G. Umang, K.C. Manoj, S. Radhakrishnan, G. Michel, A. Puneet Understanding emotions in text using deep learning and big data Comput. Hum. Behav., 93 (2019), pp. 309-317
Faraj et al., 2020 Z. Faraj, M. Selamet, C. Morales, P. Torres, M. Hossain, H. Lipson Facially Expressive Humanoid Robotic Face HardwareX (2020), Article e00117
Prottasha NJ, Sami AA, Kowsher M, Murad SA, Bairagi AK, Masud M, et al. Transfer learning for sentiment analysis using BERT based supervised fine-tuning. Sensors. 2022;22(11):4157
Tan KL, Lee CP, Lim KM, Anbananthen KSM. Sentiment analysis with ensemble hybrid deep. IEEE Access. 2022;10:103694-103704. Available from: https://doaj.org/article/948b7ca90291416fb31bda6b789b8920
##submission.downloads##
Nashr qilingan
Nashr
Bo'lim
##submission.license##
##submission.copyrightStatement##
##submission.license.cc.by-nc-nd4.footer##