All Outputs (2)

Finding association rules in linked data, a centralization approach (2013)
Presentation / Conference
Ramezani, R., Saraee, M., & Nematbakhsh, M. (2013, May). Finding association rules in linked data, a centralization approach. Presented at 21st Iranian Conference on Electrical Engineering (ICEE), 2013, Mashhad, Iran

Linked Data is used in the Web to create typed links between data from different sources. Connecting diffused data by using these links provides new data which could be employed in different applications. Association Rules Mining (ARM) is a data mini... Read More about Finding association rules in linked data, a centralization approach.

Sentiment classification in Persian: Introducing a mutual information-based method for feature selection (2013)
Presentation / Conference
Bagheri, A., Saraee, M., & de Jong, F. (2013, May). Sentiment classification in Persian: Introducing a mutual information-based method for feature selection. Presented at 21st Iranian Conference on Electrical Engineering (ICEE), 2013, Mashhad, Iran

With the enormous growth of online reviews in Internet, sentiment analysis has received more and more attention in information retrieval and natural language processing community. Up to now there are very few researches conducted on sentiment analysi... Read More about Sentiment classification in Persian: Introducing a mutual information-based method for feature selection.