A survey on classification techniques for opinion mining and sentiment analysis

F Hemmatian, MK Sohrabi - Artificial intelligence review, 2019 - Springer
Opinion mining is considered as a subfield of natural language processing, information
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …

A survey on the combined use of optimization methods and game theory

MK Sohrabi, H Azgomi - Archives of Computational Methods in …, 2020 - Springer
Game theory is a field of applied mathematics that studies strategic behavior of rational
factors. In other words, game theory is a collection of analytical tools that can be used to …

A feature selection approach to detect spam in the Facebook social network

MK Sohrabi, F Karimi - Arabian Journal for Science and Engineering, 2018 - Springer
The widespread adoption of social networks and their enormous facilities and growing
opportunities has attracted many users and audience. But along with attractive and …

Evolutionary game theory approach to materialized view selection in data warehouses

MK Sohrabi, H Azgomi - Knowledge-Based Systems, 2019 - Elsevier
The data warehouse contains a number of views that are used to respond to the system
queries. On the one hand, the time consuming process of responding to analytical queries of …

Auto-fuzzyjoin: Auto-program fuzzy similarity joins without labeled examples

P Li, X Cheng, X Chu, Y He, S Chaudhuri - Proceedings of the 2021 …, 2021 - dl.acm.org
Fuzzy similarity join is an important database operator widely used in practice. So far the
research community has focused exclusively on optimizing fuzzy joinscalability. However …

An efficient preprocessing method for supervised sentiment analysis by converting sentences to numerical vectors: a twitter case study

MK Sohrabi, F Hemmatian - Multimedia tools and applications, 2019 - Springer
Along with the significant growth of social media, individuals and companies are
increasingly receiving public opinions which direct their decisions. Opinion mining, which is …

Multi-objective feature selection for warfarin dose prediction

MK Sohrabi, A Tajik - Computational biology and chemistry, 2017 - Elsevier
With increasing the application of decision support systems in various fields, using such
systems in different aspects of medical science has been growing. Drug's dose prediction is …

A systematic survey on high utility itemset mining

B Rahmati, MK Sohrabi - International Journal of Information …, 2019 - World Scientific
High utility itemset mining considers unit profits and quantities of items in a transaction
database to extract more applicable and more useful association rules. Downward closure …

A game theory based framework for materialized view selection in data warehouses

H Azgomi, MK Sohrabi - Engineering Applications of Artificial Intelligence, 2018 - Elsevier
Abstract Data warehouses exploit On-Line Analytical Processing (OLAP) to make rapid
answers for analytical queries. Huge amount of aggregated data within a data warehouse …

A novel coral reefs optimization algorithm for materialized view selection in data warehouse environments

H Azgomi, MK Sohrabi - Applied Intelligence, 2019 - Springer
High response time of analytical queries is one of the most challenging issues of data
warehouses. Complicated nature of analytical queries and enormous volume of data are the …