Analyzing users' sentiment towards popular consumer industries and brands on Twitter
Guoning Hu, Preeti Bhargava, Saul Fuhrmann, Sarah Ellinger, Nemanja, Spasojevic

TL;DR
This study analyzes 330 million tweets to assess user sentiment towards 62 industries and thousands of brands, revealing industry-specific positivity and variability in brand perception, with implications for research and marketing strategies.
Contribution
It provides a large-scale sentiment analysis across multiple industries and brands, highlighting industry-specific sentiment patterns and the contextual nature of topic sentiments.
Findings
Manufacturing industries are most positively viewed.
Service industries are most negatively viewed.
Sentiment towards brands varies greatly within industries.
Abstract
Social media serves as a unified platform for users to express their thoughts on subjects ranging from their daily lives to their opinion on consumer brands and products. These users wield an enormous influence in shaping the opinions of other consumers and influence brand perception, brand loyalty and brand advocacy. In this paper, we analyze the opinion of 19M Twitter users towards 62 popular industries, encompassing 12,898 enterprise and consumer brands, as well as associated subject matter topics, via sentiment analysis of 330M tweets over a period spanning a month. We find that users tend to be most positive towards manufacturing and most negative towards service industries. In addition, they tend to be more positive or negative when interacting with brands than generally on Twitter. We also find that sentiment towards brands within an industry varies greatly and we demonstrate…
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Taxonomy
TopicsSentiment Analysis and Opinion Mining · Digital Marketing and Social Media · Complex Network Analysis Techniques
