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A Research Project on The Emotions Expressed by Users of Virtual Assistants Through Amazon Online Reviews

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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.

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Dissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Marketing Intelligence

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Virtual-Assistant- Reviews Sentiment-Analysis Text-mining

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