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Applying Machine Learning Techniques for Performing Comparative Opinion Mining [PDF]
Open Computer Science, 2020 In recent times, comparative opinion mining applications have attracted both individuals and business organizations to compare the strengths and weakness of products. Prior works on comparative opinion mining have focused on applying a single classifier,
Younis Umair +5 more
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IEEE AccessComparative opinion mining is an important sub-task of aspect-based sentiment analysis that focuses on identifying and interpreting comparisons between entities.
Duy-Cat Can +5 more
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Naïve Multi-label Classification of YouTube Comments Using Comparative Opinion Mining
Procedia Computer Science, 2016 AbstractWith the turning wheel of time, the influence of the social networking websites on the people has significantly increased. People are now connecting with each other in cyber space and show their sentiments in the form of comments in different social networking websites such as Twitter, Facebook and Google Plus.
Khan, Asad Ullah Rafiq +2 more
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Safety of creatine supplementation: a scientometrics analysis on the impact of the ‘Creatine For Health’ initiative and introduction to CREAS [PDF]
Journal of the International Society of Sports NutritionBackground Research has consistently shown that creatine monohydrate supplementation is generally safe and well-tolerated, with no clinically significant side effects. However, anecdotal claims about adverse effects persist.
Diego A. Bonilla +6 more
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Comparative Opinion Mining in Product Reviews: Multi-Perspective Prompt-Based Learning
2024 16th International Conference on Knowledge and System Engineering (KSE)Comparative reviews are pivotal in understanding consumer preferences and influencing purchasing decisions. Comparative Quintuple Extraction (COQE) aims to identify five key components in text: the target entity, compared entities, compared aspects, opinions on these aspects, and polarity. Extracting precise comparative information from product reviews
Hai-Yen Thi Nguyen, Cam-Van Thi Nguyen
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Emotion Recognition by Textual Tweets Classification Using Voting Classifier (LR-SGD)
IEEE Access, 2021 The proliferation of user-generated content on social media has made opinion mining an arduous job. As a microblogging platform, Twitter is being used to collect views about products, trends, and politics.
Anam Yousaf +6 more
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Comparative opinion mining: A review [PDF]
Journal of the Association for Information Science and Technology, 2016 Opinion mining refers to the use of natural language processing, text analysis, and computational linguistics to identify and extract subjective information in textual material. Opinion mining, also known as sentiment analysis, has received a lot of attention in recent times, as it provides a number of tools to analyze public opinion on a number of ...
Kasturi Dewi Varathan +2 more
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Information, 2022 Product design experts depend on online customer reviews as a source of insight to improve product design. Previous works used aspect-based sentiment analysis to extract insight from product reviews. However, their approaches for requirements elicitation
Michael Y. Kpiebaareh +4 more
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Mining opinions in comparative sentences [PDF]
Proceedings of the 22nd International Conference on Computational Linguistics - COLING '08, 2008 This paper studies sentiment analysis from the user-generated content on the Web. In particular, it focuses on mining opinions from comparative sentences, i.e., to determine which entities in a comparison are preferred by its author. A typical comparative sentence compares two or more entities.
Murthy Ganapathibhotla, Bing Liu 0001
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Aspect Based Sentimental Analysis of Hotel Reviews: A Comparative Study
Sukkur IBA Journal of Computing and Mathematical Sciences, 2020 The increasing use of the internet enables users to share their opinion about what they like and dislike regarding products and services. For efficient decision making, there is a need to analyze these reviews.
Sindhu Abro +4 more
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