Exploration of Social Attitudes and Summarization of Film Reviews
Keywords:
usefulness, data mining, positive and negative emotions, online reviewsAbstract
The goal of this study was to identify the specific characteristics of internet reviews that made them useful. An online movie review site, Rotten Tomatoes, was used to gather online movie reviews. The online impact factor review methodology developed in this research makes use of data mining methods. A study found that article quality influences users' views of the effectiveness of interventions. When a reviewer has a happy mood, a strong emotional predisposition, and a high degree of review reliability, their material is more effective. Negative emotions, on the other hand, are less beneficial and weaker. Emotionally charged assessments are shown to have a greater number of reviews and tend to be more effective. The results of this study, which looked at how people evaluate online reviews, could help come up with new ways to predict economic success.
Downloads
Published
How to Cite
Issue
Section
Copyright (c) 2022 Journal of Information Technology and Computing

This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright and Licensing
For all articles published in SABA journals, copyright is retained by the authors. Articles are licensed under an open access Creative Commons CC BY 4.0 license, meaning that anyone may download and read the paper for free. In addition, the article may be reused and quoted provided that the original published version is cited. These conditions allow for maximum use and exposure of the work, while ensuring that the authors receive proper credit.