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Beirut Arab University - Faculty Of Engineering - Newsletter Issue 1, Faculty Of Engineering, Beirut Arab University

Engineering Newsletters

No abstract provided.

Strainer: State Transcript Rating For Informed News Entity Retrieval, Thomas M. Gerrity

Master's Theses

Over the past two decades there has been a rapid decline in public oversight of state and local governments. From 2003 to 2014, the number of journalists assigned to cover the proceedings in state houses has declined by more than 30\%. During the same time period, non-profit projects such as Digital Democracy sought to collect and store legislative bill and hearing information on behalf of the public. More recently, AI4Reporters, an offshoot of Digital Democracy, seeks to actively summarize interesting legislative data.

This thesis presents STRAINER, a parallel project with AI4Reporters, as an active data retrieval and filtering system for …

Combining Bert With Contextual Linguistic Features For Identification Of Propaganda Spans In News Articles, Arjumand Younus, Muhammad Atif Qureshi

Conference papers

Recent endeavours at detection of propaganda in news articles treat this as a fine-grained problem of detecting it within fragments; and hence, transformer based embeddings perform decently in such detection. We build our propaganda detection framework on top of a transformer model simultaneously enriching it with contextual linguistic information of surrounding part-of-speech tags and LIWC categories the word itself belongs to. The evaluation outcomes being encouraging indicate a huge potential for this line of reasoning in natural language processing of news text.

College Of Engineering News, Georgia Southern University

Allen E. Paulson College of Engineering & Computing News (2012-2023)

• Center for Applied Cyber Education director takes part in Cyber Exercise

Electrical & Computer Engineering News, Georgia Southern University

Electrical & Computer Engineering News (2014-2023)

• CWiNs Research Lab at GS Hosted NSF Research Experience for Undergraduates
• Are you Up2Speed? IEEE will get you there!

3 Gold Medals For Unikl In I-Idex 2015, Azman Ismail

Azman Ismail

No abstract provided.

Unikl Wins 6 Medals At Itex 2015, Azman Ismail

Azman Ismail

No abstract provided.

Unikl Outstanding Achievement In I-Envex 2015, Azman Ismail

Azman Ismail

No abstract provided.

Six Medals For Unikl In Malaysia Technology Expo 2015 (Mte 2015), Azman Ismail

Azman Ismail

No abstract provided.

Great Success For Unikl Mimet At Novel Research & Innovation Competition (Nric) 2014, Azman Ismail

Azman Ismail

No abstract provided.

Unikl Researcher Awarded Mara Innovation Award 2013, Azman Ismail

Azman Ismail

No abstract provided.

Unikl Researcher Won Medal At I-Envex 2014, Azman Ismail

Azman Ismail

No abstract provided.

Unikl Mimet At Itex’13, Azman Ismail

Azman Ismail

No abstract provided.

Using Textual Features To Predict Popular Content On Digg, Paul H. Miller

Paul H Miller

Over the past few years, collaborative rating sites, such as Netflix, Digg and Stumble, have become increasingly prevalent sites for users to find trending content. I used various data mining techniques to study Digg, a social news site, to examine the influence of content on popularity. What influence does content have on popularity, and what influence does content have on users’ decisions? Overwhelmingly, prior studies have consistently shown that predicting popularity based on content is difficult and maybe even inherently impossible. The same submission can have multiple outcomes and content neither determines popularity, nor individual user decisions. My results show …

Using Textual Features To Predict Popular Content On Digg, Paul H. Miller

Department of English: Dissertations, Theses, and Student Research

Over the past few years, collaborative rating sites, such as Netflix, Digg and Stumble, have become increasingly prevalent sites for users to find trending content. I used various data mining techniques to study Digg, a social news site, to examine the influence of content on popularity. What influence does content have on popularity, and what influence does content have on users’ decisions? Overwhelmingly, prior studies have consistently shown that predicting popularity based on content is difficult and maybe even inherently impossible. The same submission can have multiple outcomes and content neither determines popularity, nor individual user decisions. My results show …

Searching Blogs And News: A Study On Popular Queries, Aixin Sun, Meishan Hu, Ee Peng Lim

Research Collection School Of Computing and Information Systems

Blog/news search engines are very important channels to reach information about the real-time happenings. In this paper, we study the popular queries collected over one year period and compare their search results returned by a blog search engine (i.e., Technorati) and a news search engine (i.e., Google News). We observed that the numbers of hits returned by the two search engines for the same set of queries were highly correlated, suggesting that blogs often provide commentary to current events reported in news. As many popular queries are related to some events, we further observed a high cohesiveness among the returned …