Online word of mouth using text mining: A review of literature and future directions

Online word-of-mouth (Online WOM) is extensively growing today, generating a huge corpus of verbal data and numerical product ratings. In this paper we do a detailed review of research on text-mining and online WOM. Since research in this area is still evolving, we add value to this literature by analyzing most of the literature available in this area and identified four different categories of research focus. We also identified various research gaps that exist in each category and hence give directions for future research in text-mining and online WOM.