A Computer Aided Content Analysis of Online Reviews
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TL;DR
It is demonstrated how CAINES is able to analyze the most important factor a moviegoer considers when rating a movie online and it is shown that storyline is most important to moviegoers and they tend to leave more positive than negative reviews.
Abstract
Published information extraction (IE) research generally discusses the technological improvement of IE software, yet little addresses the valuable application of such technology. IE and content analysis together enhance the rigor of qualitative research through computer based content analysis. We use CAINES to illustrate an effective application of IE and computer aided content analysis on eWOM reviews. CAINES is a system based on linguistic techniques that can extract and analyze online movie reviews. In this research we demonstrate how CAINES is able to analyze the most important factor a moviegoer considers when rating a movie online. CAINES extracted and analyzed movie reviews from 18 action and adventure movies consisting of 20,679 individual reviews. By using CAINES we were able to show that storyline is most important to moviegoers and they tend to leave more positive than negative reviews. Our results also reveal that reviewers mainly discuss their personal evaluation of the movie, rather than dis...