Mapping drugs and medicine websites into VAD space

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has title::Mapping drugs and medicine websites into VAD space
status: ongoing
Master: project within::Technical Artificial Intelligence
Student name: student name::Alberto Caroli
Dates
Start start date:=2015/04/13
End end date:=2015/10/13
Supervision
Supervisor: Guszti Eiben
Second supervisor: Bas Weitjens
Company: has company::Sentient
Thesis: has thesis::Media:Thesis.pdf
Poster: has poster::Media:Posternaam.pdf

Signature supervisor



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Abstract

In this research the VAD emotional state model is used to map Drugs & Medicine websites to a three dimensional continuous space, by transposing a website’s characteristics to the Valence, Arousal and Dominance psychological dimensions. For the Valence dimension, we performed supervised continuous sentiment analysis, trained on samples different from the ones in the investigated websites data-set. In order to develop a reliable model, experiments were made to discover that changing the granularity of the outcome of a sentiment analysis task does not influence its performance, when the training set and the test set come from different contexts. We also experimented with two interpretations of Valence, finding out their orthogonality. The dimension of Arousal is represented by the amount of the changes of a website’s pages, and Dominance is a measure of the popularity that a website has. When comparing the dimensions between each others, we find a small correlation between the Arousal and Dominance dimensions, due to the intrinsic properties of relevant websites. Finally, after performing a clustering task, we show how the points of the same cluster, represented in the VAD space, are more close to each other compared to a random space.