< Ghazaleh Beigi

I'm a third year Ph.D. student at Data Mining and Machine Learning Lab, Arizona State University under supervision of Professor Huan Liu.

Before joining ASU as a Ph.D. student in Fall 2014, I have earned my Bachelor's and Master's degree from the Sharif University of Technology.

My research interests include:

  • User behavior modeling
  • Signed network analysis
  • Trust and distrust prediction
  • Sentiment analysis
  • Machine learning and data mining

This is also my CV .
Email: gbeigi at asu dot edu

Publication

Book Chapters:

  • Beigi, G., Hu, X., Maciejewski, R., Liu, H.: ’An Overview of Sentiment Analysis in Social Media and its Applications in Disaster Relief’.[PDF]
    In edited volume entitled as Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence. Published by Springer. Editors: Shyi-Ming Chen and Witold Pedrycz

Journal Papers:

  • Beigi, G., Tang, J., Liu, H.: ’Data Sparsity in Social Media Networks: Leveraging User-Generated Information for Signed Link Analysis’.
    Submitted in the Journal of ACM Transaction on Interactive Intelligent Systems (TiiS).

Conference Papers:

  • Beigi, G., Tang, J., Liu, H.: ’Signed Link Analysis in Social Media Networks’.[PDF]
    In the 10th International AAAI Conference on Web and Social Media (ICWSM-16).
  • Beigi, G., Tang, J.,Wang, S., Liu, H.: ’Exploiting Emotional Information for Trust/Distrust Prediction’.[PDF]
    In SIAM International Conference on Data Mining (SDM-2016).
  • Beigi, G., Jalili, M., Alvari, H., Sukthankar, G.: ’Leveraging Community Detection for Accurate Trust Prediction’. [PDF]
    In the Sixth ASE International Conference on Social Computing (ICSC-2014).

Theses:

  • Beigi, G.: ’Leveraging User-Item Interactions for Trust Prediction’. M.Sc. Thesis (in Persian),
    Computer Engineering Department, Sharif University of Technology, July 2014.
  • Beigi, G.: ’Community Detection in Social Networks’. B.Sc. Thesis (in Persian),
    Computer Engineering Department, Sharif University of Technology, June 2013.

Services

Conference/Journal Reviews

  • Conferences: ICWSM, WWW, WSDM, AAAI, ASONAM, ICDM, SDM.
  • Journal and book chapter: IEEE Intelligent Systems, IEEE Transactions on Big Data, Social Network Analysis and Mining Journal (SNAM), Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence

Contact

Ghazaleh Beigi

Data Mining and Machine Learning Lab
699 S Mill Ave
Room 561
Tempe AZ-85281

Email: gbeigi at asu dot edu