Network Text Analysis and Sentiment Analysis: An Integration to Analyse Word-of-Mouth in the Digital Marketplace

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Author(s): Veronica Ravaglia (Catholic University of the Sacred Heart, Italy), Luca Zanazzi (University of Bologna, Italy)and Elvis Mazzoni (University of Bologna, Italy)
Copyright: 2016
Pages: 18
Source title: Big Data: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-9840-6.ch058

Keywords: Data Mining / Information Science Reference / Knowledge Management / Library & Information Science

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Abstract

Through Social Media, like social networking sites, wikis, web forums or blogs, people can debate and influence each other. Due to this reason, the analysis of online conversations has been recognized to be relevant to organizations. In the chapter we introduce two strategic tools to monitor and analyze online conversations, Sentiment Text Analysis (STA) and Network Text Analysis (NTA). Finally, we propose one empirical example in which these tools are integrated to analyze Word-of-Mouth regarding products and services in the Digital Marketplace.

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Network Text Analysis and Sentiment Analysis: An Integration to Analyse Word-of-Mouth in the Digital Marketplace

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