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Autores
Orientador(es)
Resumo(s)
This project aims to examine whether Virtual Assistants have the ability to evoke
emotions in users. The analysis specifically focuses on Amazon reviews on the product "Echo
Dot Gen 4" extracted from their website. The project also incorporates relevant theories
such as Social Agency and The Extended Self to provide supporting context. To effectively
capture the sentiments of the users, a combined approach of Text Mining and Sentiment
Analysis was employed. To determine the sentiment of individual words the AFFIN Lexicon
and the NRC Lexicon are utilized. The findings of the analysis indicate that there is a
significant positive effect of the average AFFIN sentiment score of a review on the average
rating of the comments. With the NRC analysis it is possible to observe that most words have
a positive sentiment and frequently contain the emotions joy and trust.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Marketing Intelligence
Palavras-chave
Virtual-Assistant- Reviews Sentiment-Analysis Text-mining
