Opinion mining of online product reviews using a lexicon-based algorithm
by Ignacio Martín-Borregón Musso; Marina Bagić Babac
International Journal of Data Analysis Techniques and Strategies (IJDATS), Vol. 14, No. 4, 2022

Abstract: Worldwide social media is a rich resource of user-generated data, which can help organisations to formulate their business strategies, and affect the process of decision making in product or service design and implementation. The focus of this paper is on the extraction and analysis of unstructured product reviews for training predictive models, which recognise a specific range of human affective states such as emotions, moods, opinions, or attitudes. Based on the textual and reactions analysis, the emotional reactions lexicon of English words is built from the product posts and comments, and a lexicon-based algorithm is used to predict user opinions on social media.

Online publication date: Mon, 27-Feb-2023

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