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42 articles for “Emotions”
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Research ArticleOpen accessIn the abstractPsychological Behavior Prediction through Sentiment Analysis Technics: Transformers and ML ApproachMaryame Naji, Najima Daoudi, Rachida AjhounIn the era of the COVID-19 epidemic, governmentshave imposed nationwide lockdowns, which make a huge change to people's dailyroutines. This last impacts indirectly the well-being of people's mentalhealth. And due to social media, many conversations about these phenomena occuronline, especially those related to people's emotions. Which brought challengesand opportunities for sentiment analysis researchers. In this article, we areinterested in extracting … …Journal of Computer Science, Vol. 18, Issue 9 · 14 Sep 2022 · 5,753 accessesView PDFCite
Research ArticleOpen accessIn the abstractSentimental Analysis on Health-Related Information with Improving Model Performance using Machine LearningWael M.S. Yafooz, Abdullah AlsaeediSocial media platforms are extensively used in exchanging and sharing information and user experience, thereby resulting in massive outspread and viewing of personal experiences in many fields of life. Thus, informative health-related videos on YouTube are highly perceptible. Many users tend to procure medical treatments and health-related information from social media particularly from YouTube when searching for chronic illness treatments. … …Journal of Computer Science, Vol. 17, Issue 2 · 22 Feb 2021 · 7,460 accessesView PDFCite
Research ArticleOpen accessIn the abstractSentiment Analysis of Arabic Reviews for Saudi Hotels Using Unsupervised Machine LearningSamar Alosaimi, Maram Alharthi, Khloud Alghamdi et al.Virtual worlds such as social networking sites, blogs and content communities are extremely becoming one of the most powerful sources for news, markets, industries etc. These virtual worlds can be used for many aspects, because they are rich platforms full of feedback, emotions, thoughts and reviews. The main objective of this paper is to cluster Arabic reviews of Saudi hotels … …Journal of Computer Science, Vol. 16, Issue 9 · 25 Sep 2020 · 7,156 accessesView PDFCite
Research ArticleOpen accessIn the abstractRecognition of Pathological Voices by Human Factor Cepstral Coefficients (HFCC)Rabeh Hamdi, Salah Hajji, Adnene CherifHuman speech is a means of communication that is very important in our daily lives. It is characterized by its great ability to transmit our ideas, our emotions, our personality etc. So, any alteration of the voice can prevent the person from exercising his professional and daily life naturally. It is for these reasons that it is very necessary to … …Journal of Computer Science, Vol. 16, Issue 8 · 7 Aug 2020 · 6,859 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuture Emoji Entry Prediction Using Neural NetworksHelen Wilfred Raj, Santhi BalachandranIn today’s world, textual data has made momentous progress in social media. The rise of digital communication via text has paved the way to emoji, a pictographically represented way of expressing emotions. In digital communication, Emoji gives a visual appeal to the text, which improves communication and new vistas of exchange and creativity. While emoji entry prediction based on text … …Journal of Computer Science, Vol. 16, Issue 2 · 10 Aug 2019 · 9,137 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Models for Speech Emotion RecognitionV.M. Praseetha, Sangil VadivelEmotions play a vital role in the efficient and natural human computer interaction. Recognizing human emotions from their speech is truly a challenging task when accuracy, robustness and latency are considered. With the recent advancements in deep learning now it is possible to get better accuracy, robustness and low latency for solving complex functions. In our experiment we have developed … …Journal of Computer Science, Vol. 14, Issue 11 · 26 Nov 2018 · 8,768 accessesView PDFCite
Research ArticleOpen accessIn the abstractVERBO: Voice Emotion Recognition dataBase in Portuguese LanguageJosé R. Torres Neto, Geraldo P.R. Filho, Leandro Y. Mano, Jó UeyamaThe recognition of human emotional traits based on Affective Computing is being carried out by computational systems that are able to interpret and react intelligently to the context of the user. Speech Emotion Recognition systems are capable of transforming speech signal data into information related to the feelings of individuals in specific situations. However, the emotional expression of a human … …Journal of Computer Science, Vol. 14, Issue 11 · 2 Nov 2018 · 9,453 accessesView PDFCite
Research ArticleOpen accessIn the abstractThermal Face Authentication with Convolutional Neural NetworkMohamed Sayed, Faris BakerMatching thermal face images as a method of biometric authentication has gained increasing interest because of its advantage of tracking a target object at night and in total darkness. Therefore, for security purposes, it has become highly favourable and has extensive applications, for instance, in video surveillance at night. The aim of this study is to present a simple and … …Journal of Computer Science, Vol. 14, Issue 12 · 10 Dec 2018 · 7,854 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of LDA, AdaBoost and Ensemble Bag Classifiers for Automatically Recognizing Nine Common Facial ExpressionsM.D. Sumithra, M. Abdul RahimanFacial expression recognition holds a prominent role in today’s digital world with more Human –Computer Interaction happening in day to day life. Successful identification of facial expressions needs extraction of descriptive attributes from the active facial patches and accurate classification. This paper is presented with the comparison of three multi class classifiers namely Linear Discriminant Analysis, AdaBoost and Ensemble bag. … …Journal of Computer Science, Vol. 14, Issue 9 · 27 Sep 2018 · 7,787 accessesView PDFCite
Review ArticleOpen accessIn the abstractMultimodal Sentiment Analysis: A Comparison StudyIntisar O. Hussien, Yahia Hasan JazyahSentiments and emotions play a pivotal role in our daily lives. They assist decision making, learning, communication and situation awareness in human environments. Sentiment analysis is mainly focused on the automatic recognition of opinions’ polarity, as positive or negative. Nowadays, sentiment analysis is replacing the old web based survey and traditional survey methods that conducted by deferent companies for finding … …Journal of Computer Science, Vol. 14, Issue 6 · 11 Jun 2018 · 9,904 accessesView PDFCite