2 citations · 5 across the 5 of their papers we have counts for
5 papers
Discovering the Symptom Patterns of COVID-19 from Recovered and Deceased Patients Using Apriori Association Rule Mining
Mohammad Dehghani, Zahra Yazdanparast
The COVID-19 pandemic has a devastating impact globally, claiming millions of lives and causing significant social and economic disruptions. In order to optimize decision-making an…
Political Sentiment Analysis of Persian Tweets Using CNN-LSTM Model
Mohammad Dehghani, Zahra Yazdanparast
Sentiment analysis is the process of identifying and categorizing people's emotions or opinions regarding various topics. The analysis of Twitter sentiment has become an increasing…
BioBERT Based SNP-traits Associations Extraction from Biomedical Literature
Mohammad Dehghani, Behrouz Bokharaeian, Zahra Yazdanparast
Scientific literature contains a considerable amount of information that provides an excellent opportunity for developing text mining methods to extract biomedical relationships. A…
Artificial intelligence for Sustainable Energy: A Contextual Topic Modeling and Content Analysis
Tahereh Saheb, Mohammad Dehghani
Parallel to the rising debates over sustainable energy and artificial intelligence solutions, the world is currently discussing the ethics of artificial intelligence and its possib…
Discourse Analysis of Covid-19 in Persian Twitter Social Networks Using Graph Mining and Natural Language Processing
Omid Shokrollahi, Niloofar Hashemi, Mohammad Dehghani
One of the new scientific ways of understanding discourse dynamics is analyzing the public data of social networks. This research's aim is Post-structuralist Discourse Analysis (PD…