Fahmida Hamid

Assistant Professor of Computer Science - Computer Science - Natural Sciences

Fahmida Hamid
  • Phone: (941) 487-4171
  • Email: fhamid@ncf.edu
  • Office Location: E153
  • Mail Location: HNS E172C

Ph.D, Computer Science & Engineering, University of North Texas
MS,    Computer Science & Engineering, University of Dhaka, Dhaka, Bangladesh
BS,     Computer Science & Engineering, University of Dhaka, Dhaka, Bangladesh

My research interests span the area of Information Retrieval and Natural Language Processing. I modeled an unsupervised sentiment-oriented summary extraction technique for single documents, proposed a generic baseline for evaluating automatic summary (and key phrase) extraction algorithms, and devised a relativized scale for evaluating machine-generated summaries with respect to multiple reference summaries. I conducted research with six students this summer where we explored different area and aspects of Recommender Systems. My most recent projects are modeling context-aware music recommender systems and inducing serendipity in the traditional recommendation algorithms.

Research Interests:

  • Natural Language Processing, area of specialization: Summarization and Key phrase Extraction, Sentiment Analysis
  • Information Retrieval, area of specialization: Evaluation techniques
  • Recommender Systems, area of specialization: Designing hybrid systems for music/book lovers

Course Offerings:

  • CSCI 3450: Natural Language Processing
  • CSCI 3400: Object-Oriented Design

Selected Publications:

  • Fahmida Hamid, A Course-based Undergraduate Research Experience (CURE) in Computer Science: An Experience Report, CCSC-Central Plains (2020)
  • Linh Tang and Fahmida Hamid, CAARS: A Context-Aware Artist Recommender System for Twitter Users, RecSys@FLAIRS(2020)
  • Fahmida Hamid, David Haraburda and Paul Tarau, Evaluating Text Summarization Systems with a Fair Baseline from Multiple Reference Summaries, ECIR (2016)
  • Fahmida Hamid and Paul Tarau, Anti-Summaries: Enhancing Graph-based Techniques for Summary Extraction with Sentiment Polarity, CICLing (2015)