Abstract | ||
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•A new method for evaluating products positioning strategy using topic modelling and sentiment analysis.•Uses longitudinal analysis to identify the effect of time on product’s sentiment.•Uses ordinal logistic regression to evaluate the effect of time on the product positioning and diagnose the cause of mispositioning.•Employs design science as a framework for the development and evaluation of the proposed method.•Apply the method in a case-study from the smartphone industry. |
Year | DOI | Venue |
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2020 | 10.1016/j.elerap.2020.100986 | Electronic Commerce Research and Applications |
Keywords | DocType | Volume |
Micro-blogs,Sentiment Analysis,Product positioning,Topic modelling | Journal | 42 |
ISSN | Citations | PageRank |
1567-4223 | 0 | 0.34 |
References | Authors | |
0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Andreas Gregoriades | 1 | 135 | 20.51 |
Maria Pampaka | 2 | 10 | 4.20 |