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Computer Science

D-Index
39
Citations
6046
World Ranking
9802
National Ranking
4130

Overview

Cornelia Caragea is affiliated with the University of Illinois at Chicago in the United States. Their research primarily spans the field of Computer Science, with a significant focus on Artificial Intelligence, evidenced by 106 publications in this subfield. Additional subfields covered in their work include Computer Vision and Pattern Recognition, Sociology and Political Science, Information Systems, and General Health Professions.

Their research topics encompass several key areas:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Advanced Text Analysis Techniques
  • Sentiment Analysis and Opinion Mining
  • Privacy-Preserving Technologies in Data
  • Multimodal Machine Learning Applications
  • Misinformation and Its Impacts

Cornelia Caragea has contributed to multiple frequent publication venues, including:

  • arXiv (Cornell University), with 49 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence, with 8 publications
  • Zenodo (CERN European Organization for Nuclear Research), with 3 publications
  • Mathematics, with 2 publications
  • ACM Transactions on the Web, with 2 publications

Frequent coauthors with whom Cornelia Caragea has collaborated include:

  • Jishnu Ray Chowdhury (17 joint publications)
  • Tiberiu Sosea (7 joint publications)
  • Chenye Zhao (6 joint publications)
  • Huitong Pan (6 joint publications)
  • Eduard Dragut (6 joint publications)

Some recent papers contributed by Cornelia Caragea are:

  • "Intermediate-Task Transfer Learning with BERT for Sarcasm Detection," 2022, published in Mathematics
  • "It Takes Two to Empathize: One to Seek and One to Provide," 2021, published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation," 2021, published in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • "PrivacyAlert: A Dataset for Image Privacy Prediction," 2022, published in Proceedings of the International AAAI Conference on Web and Social Media
  • "A Multi-Task Learning Approach to Sarcasm Detection (Student Abstract)," 2020, published in Proceedings of the AAAI Conference on Artificial Intelligence

Best Publications

  • PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents

    Corina Florescu;Cornelia Caragea

  • Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume

    Unknown

  • Sentiment analysis during Hurricane Sandy in emergency response

    Venkata K. Neppalli;Cornelia Caragea;Anna Squicciarini;Andrea Tapia

  • Glycosylation site prediction using ensembles of Support Vector Machine classifiers

    Cornelia Caragea;Jivko Sinapov;Adrian Silvescu;Drena Dobbs

  • Classifying text messages for the haiti earthquake

    Cornelia Caragea;Nathan J. McNeese;Anuj R. Jaiswal;Greg Traylor

  • Mapping moods: Geo-mapped sentiment analysis during hurricane sandy.

    Cornelia Caragea;Anna Cinzia Squicciarini;Sam Stehle;Kishore Neppalli

  • Bi-LSTM-CRF Sequence Labeling for Keyphrase Extraction from Scholarly Documents

    Rabah Alzaidy;Cornelia Caragea;C. Lee Giles

  • Recommending citations: translating papers into references

    Wenyi Huang;Saurabh Kataria;Cornelia Caragea;Prasenjit Mitra

  • Content-driven detection of cyberbullying on the instagram social network

    Haoti Zhong;Hao Li;Anna Squicciarini;Sarah Rajtmajer

  • Extracting keyphrases from research papers using citation networks

    Sujatha Das Gollapalli;Cornelia Caragea

  • Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach

    Cornelia Caragea;Florin Adrian Bulgarov;Andreea Godea;Sujatha Das Gollapalli

  • CiteSeerX: AI in a digital library search engine

    Jian Wu;Kyle Williams;Hung-Hsuan Chen;Madian Khabsa

  • Get Online Support, Feel Better -- Sentiment Analysis and Dynamics in an Online Cancer Survivor Community

    Baojun Qiu;Kang Zhao;Prasenjit Mitra;Dinghao Wu

  • Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling

    Cornelia Caragea;Jivko Sinapov;Drena Dobbs;Vasant G. Honavar

  • Disaster response aided by tweet classification with a domain adaptation approach

    Hongmin Li;Doina Caragea;Cornelia Caragea;Nic Herndon

  • Identifying informative messages in disaster events using Convolutional Neural Networks

    Cornelia Caragea;Adrian Silvescu;Andrea H. Tapia

  • Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art.

    Rasna R. Walia;Cornelia Caragea;Cornelia Caragea;Benjamin A. Lewis;Fadi Towfic;Fadi Towfic

  • Defining resilience analytics for interdependent cyber-physical-social networks

    Kash Barker;James H. Lambert;Christopher W. Zobel;Andrea H. Tapia

  • Twitter mining for disaster response: A domain adaptation approach

    Hongmin Li;Nicolais Guevara;Nic Herndon;Doina Caragea

  • Stance Detection in COVID-19 Tweets

    Kyle Glandt;Sarthak Khanal;Yingjie Li;Doina Caragea

  • Protein sequence classification using feature hashing

    Cornelia Caragea;Adrian Silvescu;Prasenjit Mitra

  • Identifying Informative Messages in Disasters using Convolutional Neural Networks.

    Cornelia Caragea;Adrian Silvescu;Andrea H. Tapia

Frequent Co-Authors

C. Lee Giles
C. Lee Giles Pennsylvania State University
Prasenjit Mitra
Prasenjit Mitra Pennsylvania State University
Vasant Honavar
Vasant Honavar Pennsylvania State University
Anna Cinzia Squicciarini
Anna Cinzia Squicciarini Pennsylvania State University
John Yen
John Yen Pennsylvania State University
Lior Rokach
Lior Rokach Ben-Gurion University of the Negev
Toby Walsh
Toby Walsh University of New South Wales
Frederick L. Oswald
Frederick L. Oswald Rice University
Gary F. Marcus
Gary F. Marcus New York University
Jie Zhang
Jie Zhang Nanyang Technological University

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