Naslov
Opinion mining of online product reviews using a lexicon-based algorithm

Autori
Musso, Ignacio Martín-Borregón ; Bagić Babac, Marina

Izvornik
International Journal of Data Analysis Techniques and Strategies (1755-8050) 14 (2022), 4; 283-301

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
opinion mining ; emotion analysis ; product reviews ; social media

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA