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Filtering by: Degree D.Sc. Keyword Machine Learning

Methods of Enriching Domain Knowledge with Universal Semantics for Higher Text Mining Performance

Description:

Language models are either trained only on a repository data or post-trained using therepository after having been trained on a huge dataset like Wikipedia. Either way, sincethe distribution of the repository data (usually a domain-specific corpus) and the real-worlddistribution of concepts (such...

Author:

Qazanfari, Kazem

Keyword:

Text Mining, Data Mining, Natural Language Processing, Language Modeling, Deep Learning, and Machine Learning

GW Unit:

Computer Science

Degree:

D.Sc.

Advisor:

Youssef, Abdou

Committee Member(s):

Diab, Mona , Choi, Hyeong-Ah , and Bellaachia, Abdelghani

Resource Type:

Thesis or Dissertation
Rumor Identification and Verification on Social Media

Description:

Social media users spend many hours each day reading, posting, and searchingfor news on microblogging platforms. Social media has emerged as a key channel forinformation. However, the inherently unmoderated features of social media renderidentifying misinformation ever more challenging, hence...

Author:

Hamidian, Sardar

Keyword:

Social Media, Rumor, Fake News, Misinformation, Disinformation, and Machine Learning

GW Unit:

Computer Science

Degree:

D.Sc.

Advisor:

Diab, Mona

Committee Member(s):

Diab, Mona, Broniatowski, David, Pless, Robert, and Youssef, Abdou

Resource Type:

Thesis or Dissertation