Rezvaneh (Shadi) Rezapour

Doctoral Student

PhD, Library and Information Science, Illinois (in progress)

MS, Information Management, Illinois

B.Sc., Electrical Engineering, Tehran, Iran

Research focus

My current research is focused on computational social sciences in which I use natural language processing, machine learning, and network analysis to extract meaningful information from (online) text. I am particularly interested in analyzing social discourse (i.e.: social media, reviews and news articles) and developing computational models to better understand behavior, psychology, and culture of people in real world.

Honors and Awards

  • Women in Machine Learning Travel Award, 2017
  • The Anita Borg Grace Hopper (GHC) Student Scholarship, 2017
  • ACM-M Scholarship, 2016

Publications & Papers

Peer Reviewed Conference Papers

Witt A., Diesner J., Steffen D., Rezapour R., Bopp J., Fiedler N., Köller C., Raster M., Wockenfuß J. (2018). Impact of scientific research beyond academia: An alternative classification schema. Proceedings of 1st Workshop on Computational Impact Detection from Text Data, 11th Conference on Language Resources and Evaluation (LREC), Miyazaki, Japan.

Addawood A, Rezapour R, Abdar O, Diesner J. (2017). Telling apart tweets associated with controversial versus non-controversial topics. Proceedings of 2nd Workshop on Natural Language Processing and Computational Social Science (NLP+CSS) at 55th Annual Meeting of the Association for Computational Linguistics. (pp. 32-41). Vancouver, Canada. ACL.

Rezapour R, Diesner J (2017) Classification and detection of micro-level impact of issue-focused films based on reviews. Proceedings of 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), (pp. 1419-1431), Portland, OR. ACM. 

Rezapour R, Wang L, Abdar O, Diesner J (2017). Identifying the overlap between election result and candidates' ranking based on hashtag-enhanced, lexicon-based sentiment analysis. Proceedings of 11th International Conference on Semantic Computing (ICSC), (pp. 93-96), San Diego, CA. IEEE.

Diesner J, Rezapour R, Jiang M (2016). Assessing public awareness of social justice documentary films based on news coverage versus social media. iConference. Philadelphia, USA.

Diesner J, Rezapour R. (2015). Social computing for impact assessment of social change projects. In International Conference on Social Computing, Behavioral Modeling and Prediction (SBP 2015) (pp. 34-43). Washington, DC. Springer.

Peer Reviewed Extended Abstracts

Rezvaneh R. (2018). Using linguistic cues for analyzing social activism, In the 4th Annual International Conference on Computational Social Science, Evanston, IL.

Addawood A, Rezapour R, Mishra Sh, Schneider J, Diesner J. (2017). Developing an information source lexicon, Presented in the 2017 NIPS Workshop on Prioritising Online Content, Long Beach, CA.

Rezapour R, Diesner J. (2017). Classification and detection of micro-level impact of issue-focused films based on reviews. In 12th Women in Machine Learning Workshop (WiML 2017) co-located with NIPS, Long Beach, CA.