no code implementations • 16 Jan 2021 • Hamed Jelodar, Rita Orji, Stan Matwin, Swarna Weerasinghe, Oladapo Oyebode, Yongli Wang
Novelty of the approach presented herein is a multitask methodological framework of text data processing, implemented as a pipeline for meaningful emotion detection and analysis, based on the Plutchik/Ekman approach to emotion detection and trend detection.
no code implementations • 24 Apr 2020 • Hamed Jelodar, Yongli Wang, Rita Orji, Hucheng Huang
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 share information with each other.
no code implementations • 20 Sep 2019 • Hamed Jelodar, Yongli Wang, Mahdi Rabbani, SeyedValyAllah Ayobi
Today, Internet is one of the widest available media worldwide.
no code implementations • 20 Dec 2018 • Hamed Jelodar, Yongli Wang, Mahdi Rabbani, Ru-xin Zhao, SeyedValyAllah Ayobi, Peng Hu, Isma Masood
According to importance of the subject, in this paper we discover the trends of the topics and find relationship between LDA topics and Scholar-Context-documents.
1 code implementation • 12 Nov 2017 • Hamed Jelodar, Yongli Wang, Chi Yuan, Xia Feng, Xiahui Jiang, Yanchao Li, Liang Zhao
Topic modeling is one of the most powerful techniques in text mining for data mining, latent data discovery, and finding relationships among data, text documents.