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Internet reviews can be seen as an efficient communication form, adapted to the digital world of today. However, researchers are, for the most part, oriented towards English based ones. The Romanian language reviews exhibit specific grammar rules and challenges that need customized methods to be dealt with. In their paper, Versavia-Maria Ancusa, Olimpia Ban, and Marian Cornea offer a method for aggregating heterogeneous Romanian language reviews into a homogenous corpus, fit for further analyse.
Basically, their aim is to buil a eWOM data cleaning algorithm and apply it on the Romanian language. The algorithm will be based on a three-phase process. The first stage consists in data collection, it continues with the basic processing, and focuses, in the last stage, on analyzing.