Data mining
Four different ways to predict reviews' rating through text analysis
Nowadays, organizations are accumulating vast and growing amounts of data in different formats, storing them in huge databases. This data can provide useful information through patterns, associations or relationships.
Therefore, data mining has emerged to analyse a huge amount of data in automatic or semi-automatic way, in order to discover as much information as possible about them.
Moreover, also the amount of online reviews is growing rapidly and their role in e-commerce has become increasingly important. Both academics and practitioners are aiming at extracting meaningful information from these reviews through text mining techniques.
In this paper we describe our implementation of an algorithm used to predict the rating of an input text review, based on a list of positive and negative opinion words.
