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Improving Opinion Spam Detection by Cumulative Relative Frequency Distribution
Over the last years, online reviews became very important since they can influence the purchase decision of consumers and the reputation of businesses, therefore, the practice of writing fake reviews can have severe consequences on customers and service providers.
A study on text-score disagreement in online reviews
In this paper, we focus on online reviews and employ artificial intelligence tools, taken from the cognitive computing field, to help understanding the relationships between the textual part of the review and the assigned numerical score.
Mining Worse and Better Opinions. Unsupervised and Agnostic Aggregation of Online Reviews
In this paper, we propose a novel approach for aggregating online reviews, according to the opinions they express.
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