Titlebook: HCI in Business, Government and Organizations; 9th International Co Fiona Fui-Hoon Nah,Keng Siau Conference proceedings 2022 The Editor(s)

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The Corpus of Emotional Valences for 33,669 Chinese Words Based on Big Dataers have constructed a co-occurrence corpus of 7 types of emotion words through word co-occurrence and big data corpora. However, in addition to the categorical approach, the dimensional approach plays an important role in natural language processing. In particular, valence has an important influenc

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Predicting the Usefulness of Questions in Q&A Communities: A Comparison of Classical Machine Learnin elicit high-quality solutions as well as a large number of participants engaged in online knowledge sharing, a grand challenge for Q&A communities is thus to effectively and efficiently identify and rank useful questions. The current approach to solving this problem is either through user voting or

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Building a “Corpus of 7 Types Emotion Co-occurrences Words” of Chinese Emotional Words with Big Datarical Approach was seldom used for building corpus, which may also lead to study bias. Therefore, study 1 of present study has used the Spreading Activation Model as the structure, and used big data of text corpus and word co-occurrences to build a corpus that contains more categories of emotions an

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鋪子

User-Centered Assembly Knowledge Documentation: A Graph-Based Visualization Approach to find appropriate ways to overcome the looming qualification lag of their employees. Aggravated by the demographic change, they have to ensure that the knowledge of older, experienced employees is made available to others to prevent its loss in case of retirement. This is especially relevant for

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Assessing the Effectiveness of Digital Advertising for Green Products: A Facial Expression Evaluatio, the emotional feedback of the consumers is valuable to understand the purchasing intention. Artificial intelligence and machine learning have provided researchers and practitioners of marketing and advertisement with new tools, such as facial expression recognition analysis, to explore the context

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Bilingual Memory and the Language of Affect,ermediary to self-execute the transaction. Compare to general online lending platform where the lender have a high risk of bad debt, information asymmetry building of smart contract platform provide the solution to track historical transactions and immutable records. This study explores the impact o

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Introduction to the Biml Languagein past public decision-making processes that there are also discussions about negative sides of proposals together with possible improvements of them. We have taken this as an opportunity to model the improvement of proposals within the decision-making process..Our new model for this is similar to

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Other Potential Global Authoritiesl transformation. To address this problem, governments have started initiatives, i.e., publicly-funded support units, with the purpose to support digital transformation through facilitating idea management in SMEs. Studies suggest that the application of (IT-based) idea evaluation systems could impa