Approach | This suggests that clustering the attitude vector space will achieve the goal and split the discussants into subgroups according to their opinion. |
Evaluation | We collect all the text posted by each participant and create a tf-idf representations of the text in a high dimensional vector space . |
Evaluation | We then cluster the vector space to identify subgroups. |
Introduction | We use clustering techniques to cluster the attitude vector space . |