Difference between revisions of "Mapping drugs and medicine websites into VAD space"
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| − | + | In this research the VAD emotional state model is used to map Drugs | |
| − | In order to | + | & 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 | |
| − | Dominance is a measure of the popularity | + | 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. | |
Revision as of 09:59, 2 March 2016
| 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.
