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Opinion Mining in ESP Classrooms: A Comparative Analysis of Traditional vs. AI-Assisted Instruction

Belgrade English Language and Literature Studies
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Rules for Mining Comparative Online Opinions

2009 Fourth International Conference on Computer Sciences and Convergence Information Technology, 2009
The study of comparative online opinions is about sorting comparative sentences out of given sentences. This study, which is focused on the documents in Korean, may be the first of its kind in Korea although there have been a few of such studies in English spoken countries. In this study, 39 words –the most frequently used in the comparative sentences–
Yeong Hyeon Gu, Seong Joon Yoo
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Mining comparative opinions from customer reviews for Competitive Intelligence

Decision Support Systems, 2011
Competitive Intelligence is one of the key factors for enterprise risk management and decision support. However, the functions of Competitive Intelligence are often greatly restricted by the lack of sufficient information sources about the competitors. With the emergence of Web 2.0, the large numbers of customer-generated product reviews often contain ...
Kaiquan Xu, Stephen Shaoyi Liao, Jiexun Li, Yuxia Song   +3 more
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Dual-Channel Retrieval-Augmented In-Context Learning for Comparative Opinion Mining

IEEE Transactions on Affective Computing
Hui Yan, Jianfei Yu, Wenjing Gui
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Improving Comparative Opinion Mining Through Detection of Support Sentences

2022
Comparative opinion contains contrasting views of products (e.g., which aspect of a product is better or worse). Most existing works for comparative opinion mining focus on single comparative sentences but have yet explored the benefits of additional comparative details in neighbouring sentences of a comparative sentence.
Teck Keat Yeow, Keng Hoon Gan
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Temporal Analysis of Comparative Opinion Mining

2016
Social media have become a popular platform for people to share their opinions and emotions. Analyzing opinions that are posted on the web is very important since they influence future decisions of organizations and people. Comparative opinion mining is a subfield of opinion mining that deals with identifying and extracting information that is ...
Kasturi Dewi Varathan, Anastasia Giachanou, Fabio Crestani   +2 more
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Comparing Different Methods for Opinion Mining in Newspaper Articles

2012
Adapting opinion mining for news articles is a challenging field and at the same time it is very interesting for many analyses, applications and systems in the field of media monitoring. In this paper, we illustrate specifics in this area in comparison with sentiment analysis of product reviews.
Thomas Scholz, Stefan Conrad 0001, Isabel Wolters   +2 more
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Emotion Analysis for Opinion Mining From Text

International Journal of e-Collaboration, 2019
In the past few years, web documents, blogs, and reviews have played an important role in many fields as organizations always aim to find consumer or public opinions about their products and services. On the other hand, individual consumers also seek the opinions or emotions of existing users of a certain product before purchasing it.
Amr Mansour Mohsen, Amira M. Idrees, Hesham Ahmed Hassan   +2 more
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A comparative study on opinion mining algorithms of social media statuses

2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS), 2017
The Social Media (SM) is affecting clients' preferences by modeling their thoughts, attitudes, opinions, views and public mood. Observing the SM activities is a decent approach to measure clients' loyalty, keeping a track on their opinion towards products preferences or social event.
Donia Gamal, Marco Alfonse, El-Sayed M. El-Horbaty, Abdel-Badeeh M. Salem   +3 more
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Comparative analysis of ensemble classifiers for sentiment analysis and opinion mining

2017 3rd International Conference on Advances in Computing,Communication & Automation (ICACCA) (Fall), 2017
Ensemble classifiers are showing a promising way to solve various classification and predictive problems. Improving the performance of ensemble classifiers becomes easier than improving the performance of a single classifier. For performance improvement, the comparative analysis of variously available ensemble classifiers is required for better ...
Sanjeev Kumar, Ravendra Singh
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