The ethical aspects of integrating sentiment and emotion analysis in chatbots for depression intervention [PDF]
IntroductionDigital health interventions specifically those realized as chatbots are increasingly available for mental health. They include technologies based on artificial intelligence that assess user’s sentiment and emotions for the purpose of ...
Kerstin Denecke +2 more
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Emotion Analysis Based on Deep Learning With Application to Research on Development of Western Culture [PDF]
Cultural development is often reflected in the emotional expression of various cultural carriers, such as literary works, movies, etc. Therefore, the cultural development can be analyzed through emotion analysis of the text, so as to sort out its context
Ming Chen
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Emotion Analysis of Arabic Tweets: Language Models and Available Resources [PDF]
One of the most popular social media platforms is Twitter. Emotion analysis and classification of tweets have become a significant research topic recently.
Ghadah Alqahtani, Abdulrahman Alothaim
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Emotion Analysis and Happiness Evaluation for Graduates During Employment [PDF]
Happiness can be regarded as an evaluation of life satisfaction. A high level of wellbeing can promote self-fulfillment and build a rational, peaceful, self-esteem, self-confidence, and positive social mentality. Therefore, the analysis of the factors of
Lanlv Hang, Tianfeng Zhang, Na Wang
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Emotion Analysis of Cross-Media Writing Text in the Context of Big Data [PDF]
Since the beginning of the 21st century, sentiment analysis has been one of the most active research fields in natural language processing. Now sentiment analysis technology has not only achieved significant results in academia, but also has been widely ...
Rui Ren
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Hierarchical Bi-LSTM based emotion analysis of textual data [PDF]
Nowadays, Twitter is one of the most popular microblogging sites that is generating a massive amount of textual data. Such textual data is intended to incorporate human feelings and opinions with related events like tweets, posts, and status updates.
Dashrath Mahto, Subhash Chandra Yadav
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New types of artificial intelligence products are gradually transferring to voice interaction modes with the demand for intelligent products expanding from communication to recognizing users' emotions and instantaneous feedback.
Kuo-Liang Huang, Sheng-Feng Duan, Xi Lyu
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Extending emotional lexicon for improving the classification accuracy of Chinese film reviews
It is challenging to build domain-specific emotional lexicon for film reviews, due to its unique characteristics, such as massive data, endless new login words, and others.
Qiaoyun Wang +5 more
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Forecasting fund-related textual emotion trends on Weibo: A time series study
IntroductionThis paper reports a time series analysis of day-to-day emotional text related to fund investments on Weibo (Sina Corporation, Beijing, China).MethodsThe present study employed web-crawler and text mining techniques through Python to obtain ...
Sha Luo
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Emotion Recognition in Human–Robot Interaction Using the NAO Robot
Affective computing can be implemented across many fields in order to provide a unique experience by tailoring services and products according to each person’s needs and interests. More specifically, digital learning and robotics in education can benefit
Iro Athina Valagkouti +4 more
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