Nancy McCracken

Research Associate Professor

  • 93 Citations
  • 5 h-Index
1984 …2019

Research output per year

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Personal profile

Professional Information

Dr. McCracken is a Research Associate Professor who also teaches courses in the iSchool.  Her general research interests are in applying the principles and tools of computational linguistics to making information accessible and understandable for people.  Recent research projects includes an NSF funded project for using natural language processing and machine learning to assist social scientists in content analysis of text, an NSF funded project for building a qualitative data repository and a study of the language patterns of using Twitter to engage in politics.

Dr. McCracken was formerly in the Center for Natural Language Processing where she was a project leader supervising research teams for government grants and business contracts.  Past positions also include being a research scientist at the Northeast Parallel Architectures Center at Syracuse University, specializing in parallel computing languages, and as faculty in the School of Computer and Information Science at Syracuse University.

Research Interests

Dr. McCracken’s general research interests are in applying the principles and tools of computational linguistics to making information accessible and understandable for people.  She has participated in a wide variety of natural language processing (NLP) applications through her experience at the Center for Natural Language Processing (CNLP), including information extraction, question answering, information retrieval, knowledge representation and semantic role labeling.Dr. McCracken is currently the PI on an NSF funded project called Socio-Computational Qualitative Analysis (http://socqa.syr.edu/).  This project is building a tool based on NLP and the active learning paradigm to assist social scientists in content analysis of large quantities of text.  She has also joined an NSF funded project called the Qualitative Data Repository (https://qdr.syr.edu/) as the technical project leader.  This project is led by the Maxwell School at Syracuse University and is building an international data repository for qualitative research data, focusing initially on political science.Dr. McCracken’s past research results include new methods for machine learning for NLP, for which work she received a Best Paper Award from the IEA/AIE conference in 2008.   She also served as the PI on a grant from the Institute of Museum and Library Services with CNLP to develop software for metadata extraction of museum and library materials.  Areas of Research:  Computational Linguistics;  Machine Learning;  Data Mining;  Analysis of Language in Social Media; Knowledge Representation;  Information Extraction;  Information Retrieval;  Applications of Natural Language Processing.

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Projects

Research Output

  • 93 Citations
  • 5 h-Index
  • 6 Conference contribution
  • 1 Paper
  • 1 Article
  • 1 Conference article

Beyond the Medium: Rethinking Information Literacy through Crowdsourced Analysis

Boichak, O., Canzonetta, J., Sitaula, N., McKernan, B., Taylor, S., Rossini, P. G. C., Clegg, B. A., K, K., Martey, R., McCracken, N., Oesterlund, C., Myers, R., Folkestad, J. E. & Stromer-Galley, J., 2019, Proceedings of the 51st Hawaii International Conference on System Sciences. 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
  • 11 Scopus citations

    Identifying political topics in social media messages: A lexicon-based approach

    Jackson, S., Zhang, F., Boichak, O., Bryant, L., Li, Y., Hemsley, J., Stromer-Galley, J., Semaan, B. & McCracken, N., Jul 28 2017, 8th International Conference on Social Media and Society: Social Media for Good or Evil, #SMSociety 2017. Association for Computing Machinery, Vol. Part F129683. 3097298

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations

    Understanding discourse acts: Political campaign messages classification on facebook and twitter

    Zhang, F., Stromer-Galley, J., Tanupabrungsun, S., Hegde, Y., McCracken, N. & Hemsley, J., 2017, Social, Cultural, and Behavioral Modeling - 10th International Conference, SBP-BRiMS 2017, Proceedings. Springer Verlag, Vol. 10354 LNCS. p. 242-247 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10354 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 5 Scopus citations

    A cluster-based classification approach to semantic role labeling

    Ozgencil, N. E., McCracken, N. & Mehrotra, K., Aug 4 2008, New Frontiers in Applied Artificial Intelligence - 21st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2008, Proceedings. p. 265-275 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5027 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2 Scopus citations

    Squeezing the last drop: Cluster-based classification algorithm

    Mehrotra, K. G., Ozgencil, N. E. & McCracken, N., Jul 1 2007, In : Statistics and Probability Letters. 77, 12, p. 1288-1299 12 p.

    Research output: Contribution to journalArticle

  • 3 Scopus citations

    Press and Media