Skip to main content
  • Apply
  • Donate
  • Student Noticeboard
  • COVID-19 Updates
  • Health and Safety Updates
  • News & Events
  • Contact

Lums Logo

learning without borders

portal

Home
  • Explore LUMS

    • About LUMS
    • Office of Vice Chancellor
    • Offices at LUMS
    • Rankings and Accreditation
    • News & Events
    • Resources
    • University Advisory Board
    • History
    • Contact Us
  • Admissions

    • Programme Finder
    • Admissions Home
    • Undergraduate Programmes
    • Graduate Programmes
    • Financial Aid and Scholarships
    • National Outreach Programme
    • International Students
    • Why LUMS
    • Apply Now
  • Academics

    • Suleman Dawood School of Business
    • Mushtaq Ahmad Gurmani School of Humanities and Social Sciences
    • Syed Babar Ali School of Science and Engineering
    • Shaikh Ahmad Hassan School of Law
    • Syed Ahsan Ali and Syed Maratib Ali School of Education
    • Executive Education
    • Continuing Education
    • Learning Institute
  • Faculty & Research

    • Faculty Profiles
    • Research and Innovation
    • Centres
  • Alumni

    • Alumni Relations
    • Alumni Benefits
    • VC Alumni Achievement Awards
    • Alumni Annual
  • Donors

    • Donate to LUMS
    • LUMS Supporters
    • Giving to LUMS
lums employee profile image
Dr. Ussama Yaqub
Assistant Professor
Suleman Dawood School of Business
ussama.yaqub@lums.edu.pk
  • Profile
  • Conferences, Publications and Journal Articles

Dr. Ussama Yaqub is Assistant Professor in the Suleman Dawood School of Business at the Lahore University of Management Sciences. As a Fulbright scholar, he obtained his PhD in Management Information Systems from Rutgers Business School, Rutgers the State University of New Jersey.

His research focuses on social media data analyses, including sentiment and behavior analyses, data mining and studying the use of Twitter for campaigning during general elections. Ussama has published in international journals and conference proceedings such as Government Information Quarterly, ACM Digital Government: Research & Practice and ACM Digital Government Research.

Ussama holds MBA from LUMS and has six years of work experience in the areas of Business Intelligence and Data warehousing. Prior to his PhD, he had been working as Assistant Manager - Micro-Segmentation in the Business Intelligence department at Telenor Pakistan and as a consultant in Teradata Global Consulting Centre. 

At SDSB Ussama teaches courses in Undergraduate and MBA programs in the area of Decision Sciences, Business Intelligence and Marketing.

Refereed Journal Publications

Yaqub, U. (2020). Tweeting during Covid-19 Pandemic: Sentiment Analysis of Twitter Messages by President Trump. Digital Government: Research and Practice, doi:10.1145/3428090.

YAQUB, U., SHARMA, N., PABREJA, R., CHUN & CHUN, S. & ATLURI, V. (2020). Location-based Sentiment Analyses and Visualization of Twitter Election Data. Digital Government: Research and Practice.

Yaqub, U., Chun, S., Atluri, V. & Vaidya & Vaidya, J. (2017). Analysis of political discourse on twitter in the context of the 2016 US presidential elections. Government Information Quarterly, 34 (4), 14.

Proceedings

Soomro, Z., Ilyas, S. & Yaqub, U. (2020). Sentiment, Count and Cases: Analysis of Twitter discussions during COVID-19 Pandemic. 2020 7th International Conference on Behavior, Economic and Social Computing (BESC) IEEE.

Yaqub, U., Malik, M. & Zaman, S. (2020). Sentiment Analysis of Russian IRA Troll Messages on Twitter during US Presidential Elections of 2016. 7th International Conference on Behavior, Economic and Social Computing (BESC) IEEE.

Anwar, A. & Yaqub, U. (2020). Bot detection in twitter landscape using unsupervised learning. dg.o '20: The 21st Annual International Conference on Digital Government Research.

Ilyas, S., Soomro, Z., Anwar, A., Shahzad & Shahzad, H. & Yaqub, U. (2020). Analyzing Brexit's impact using sentiment analysis and topic modeling on Twitter discussion. dg.o '20: The 21st Annual International Conference on Digital Government Research, doi:https://doi.org/10.1145/3396956.3396973.

Yaqub, U., Chun, S., Atluri, V. & Vaidya & Vaidya, J. (2019). Social Media Communication of Public Sector Organizations: A Case Study of Northeast US. dg.o 2019: Proceedings of the 20th Annual International Conference on Digital Government Research.

Sharma, N., Pabreja, R., Yaqub, U., Atluri & Atluri, V. & Chun, S. (2018). Web-based application for sentiment analysis of live tweets. dg.o '18 Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age, doi:10.1145/3209281.3209402.

Yaqub, U., Sharma, N., Pabreja, R., Chun & Chun, S. & Atluri, V. (2018). Analysis and Visualization of Subjectivity and Polarity of Twitter Location Data. dg.o '18 Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age, 10, doi:10.1145/3209281.3209313.

Yaqub, U., Chun, S., Atluri, V. & Vaidya & Vaidya, J. (2017). Sentiment based Analysis of Tweets during the US Presidential Elections. Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age.

Yaqub, U., Atluri, V. & Vaidya, J. (2016). Efficient Evaluation of Authorizations for Video Data. Proceedings of the 9th International Conference on Security of Information and Networks, doi:10.1145/2947626.2947652.

Related links | Lums Faculty Member Profile

  • Research and Innovation
  • Centres at LUMS

Related News

  • Pioneering Digital Credit in Pakistan

  • DCM Conducted a Virtual Recruitment Drive for the Class of 2021

  • LUMS Vice Chancellor gives Keynote Address on Evolution of Education in Pakistan

footer logo

  • parent one

    • Student affairs
    • Academic calendar
    • library
    • pay online
  • Parent Two

    • Financial Statements
    • phone directory
    • emergency services
    • campus mail
  • parent three

    • contact us
    • Directions to LUMS
    • Careers
  • parent four

    • Privacy Policy
    • Terms & Conditions
    • site map
lets-talk

DHA, Lahore Cantt. 54792, 
Lahore, Pakistan

Phone: +92 42 3560 8000

Subscribe
 

Search for publications, programme, event, people and much more...

X

logo

 

We will get back to you shortly.
logo

 

We will get back to you shortly.
logo

 

We will get back to you shortly.

2021 © Lahore University of Management Sciences. All Rights Reserved.