List of Articles Appraisal Theory

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  1 - An Improved Sentiment Analysis Algorithm based on Appraisal Theory and Fuzzy Logic
  Azadeh  Roustakiani Neda Abdolvand Saeideh Rajaei Harandi
  10.7508/jist.2018.02.004
  Millions of comments and opinions are posted daily on websites such as Twitter or Facebook. Users share their opinions on various topics. People need to know the opinions of other people in order to purchase consciously. Businesses also need customers’ opinions and big More

  Millions of comments and opinions are posted daily on websites such as Twitter or Facebook. Users share their opinions on various topics. People need to know the opinions of other people in order to purchase consciously. Businesses also need customers’ opinions and big data analysis to continue serving customer-friendly services, manage customer complaints and suggestions, increase financial benefits, evaluate products, as well as for marketing and business development. With the development of social media, the importance of sentiment analysis has increased, and sentiment analysis has become a very popular topic among computer scientists and researchers, because it has many usages in market and customer feedback analysis. Most sentiment analysis methods suffice to split comments into three negative, positive and neutral categories. But Appraisal Theory considers other characteristics of opinion such as attitude, graduation and orientation which results in more precise analysis. Therefore, this research has proposed an algorithm that increases the accuracy of the sentiment analysis algorithms by combining appraisal theory and fuzzy logic. This algorithm was tested on Stanford data (25,000 comments on the film) and compared with a reliable dictionary. Finally, the algorithm reached the accuracy of 95%. The results of this research can help to manage customer complaints and suggestions, marketing and business development, and product testing. Manuscript profile
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  2 - Investigating the Effect of other Tourists' Misbehavior on Overall Tourist Experience: A Case study of Mashhad restaurants
  Mohammad Sadegh Iranfar Hadi  Rafiei Darani
  10.52547/journalitor.36050.9.17.0
  This study sought to investigate how by-standing tourists evaluate other tourists' misbehavior in a shared service environment and how this evaluation may influence a tourist's overall experience. The required data were obtained through conducting interviews and adminis More

  This study sought to investigate how by-standing tourists evaluate other tourists' misbehavior in a shared service environment and how this evaluation may influence a tourist's overall experience. The required data were obtained through conducting interviews and administering a questionnaire on 411 tourists who visited Mashhad in 2019. Hypothesis testing was performed by structural equation modeling. This study revealed that tourists went through an evaluative process of primary and secondary appraisals that ended in active or passive coping behaviors. It was also found that perceived powerlessness, perceived betrayal, and perceived identity threat were the main cognitive factors in this process. Perceived betrayal exerted a significant effect on passive coping strategies, making the tourists unwilling to solve the problem with the service provider, and thus the customer-to-business relationship was terminated silently. Perceived identity threat positively affected switching intentions. On the other hand, perceived powerlessness discouraged tourists from seeking an immediate solution, while negative emotions led to immediate coping. Tourists' negative emotions were also found to have negatively influenced their evaluation of the overall experience. Therefore, it could be argued that service providers should pay attention to the importance of tourist-to-tourist interaction (TTI) management and take its impact on the overall tourist experience seriously. Manuscript profile