35 citations · 42 across the 4 of their papers we have counts for
5 papers
Artificial Intelligence for Emotion-Semantic Trending and People Emotion Detection During COVID-19 Social Isolation
Hamed Jelodar, Rita Orji, Stan Matwin +3
Taking advantage of social media platforms, such as Twitter, this paper provides an effective framework for emotion detection among those who are quarantined. Early detection of em…
Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach
Hamed Jelodar, Yongli Wang, Rita Orji +1
Internet forums and public social media, such as online healthcare forums, provide a convenient channel for users (people/patients) concerned about health issues to discuss and sha…
Natural Language Processing via LDA Topic Model in Recommendation Systems
Hamed Jelodar, Yongli Wang, Mahdi Rabbani +1
Today, Internet is one of the widest available media worldwide. Recommendation systems are increasingly being used in various applications such as movie recommendation, mobile reco…
Recommendation System based on Semantic Scholar Mining and Topic modeling: A behavioral analysis of researchers from six conferences
Hamed Jelodar, Yongli Wang, Mahdi Rabbani +4
Recommendation systems have an important place to help online users in the internet society. Recommendation Systems in computer science are of very practical use these days in vari…
A systematic framework to discover pattern for web spam classification
Hamed Jelodar, Yongli Wang, Chi Yuan +1
Web spam is a big problem for search engine users in World Wide Web. They use deceptive techniques to achieve high rankings. Although many researchers have presented the different…