inserting them into the similarity measure between documents. Our results show that different model configurations allow adapted … similarity-based document clustering and knowledge discovery. In particular, different LSA configurations together with …

Allocation to extract a topic and word distributions for each of the two subsets of the document set. We then compute similarity …

A novel hybrid method based on Cosine Similarity and Mutual Information is presented to find out relevant feature … subset. Initially, the supervised Cosine Similarity of each feature is calculated with respect to the class vector and then … features are grouped based on the obtained cosine similarity values. From each group the best mutual informative feature is …

We investigate the extent to which research similarity between senior and junior researchers influences promotion in … embeddings) on the abstract of each publication of the scholars in our dataset, we propose a novel measure of research similarity … selection committees. We show that the level of similarity is strongly associated with the winning probability. Moreover, while …