Social media competitive analysis and text mining: A case study in the pizza industry

By Wu He, Shenghua Zha, Ling Li. International Journal of Information Management, 2013

881 citations recorded by the source corpus.

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A survey of the applications of text mining in financial domain (2016, background): “He et al. (2013) describes the study of the pizza suppliers.”
Contextual Enrichment of Remote-Sensed Events with Social Media Streams (2016, background): “Researchers leveraged social media content for public opinion mining [18], [11], [6], for monitoring and prediction of infectious disease outbreaks [15], [16], for coordination of rescue efforts after disasters [7], [13], [10] as well as for analyzing the social reﬂection of the society [9].”
Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment (2019, unknown): “For instance, deployments of real-time text and sentiment analytics on social media can allow firms to capture the sentiment and attitudes of consumers in response to marketing campaigns, and also monitor how consumers react to ones instituted by their main competitors (He, Zha, & Li, 2013).”
Text Mining in Big Data Analytics (2020, background): “pizza industry in order to help businesses in utilizing social media knowledge for decision-making [189].”