World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
86
Citations
36254
World Ranking
759
National Ranking
405

Research.com Recognitions

  • 2021 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to natural language processing and computational social science.
  • 2019 - ACM Fellow For contributions to natural language processing, with innovations in data-driven and graph-based language processing

Overview

Rada Mihalcea is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily spans the field of Computer Science, with a focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science, Social Psychology, and Experimental and Cognitive Psychology.

Their work covers a range of main topics including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Misinformation and Its Impacts
  • Sentiment Analysis and Opinion Mining
  • Multimodal Machine Learning Applications
  • Mental Health via Writing
  • Advanced Text Analysis Techniques

Rada Mihalcea has published extensively in multiple venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Cognitive Computation

Recent papers illustrate a variety of thematic focuses and publication outlets. Examples include:

  • "A review of deep learning techniques for speech processing," 2023, Information Fusion
  • "Deep Learning for Text Style Transfer: A Survey," 2021, Computational Linguistics
  • "Values in Words: Using Language to Evaluate and Understand Personal Values," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "TikTok and prostate cancer: misinformation and quality of information using validated questionnaires," 2021, British Journal of Urology
  • "Multimodal Deception Detection Using Real-Life Trial Data," 2020, IEEE Transactions on Affective Computing

The researcher frequently collaborates with a set of co-authors, notably:

  • Soujanya Poria (26 joint publications)
  • Navonil Majumder (21 joint publications)
  • Verónica Pérez-Rosas (21 joint publications)
  • Zhijing Jin (19 joint publications)
  • Oana Ignat (17 joint publications)

Recognition for their contributions includes being named a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2021 for significant work in natural language processing and computational social science. In 2019, they were inducted as an ACM Fellow for contributions to natural language processing, with innovations in data-driven and graph-based language processing.

Best Publications

  • TextRank: Bringing Order into Text

    Rada Mihalcea;Paul Tarau

  • Corpus-based and knowledge-based measures of text semantic similarity

    Rada Mihalcea;Courtney Corley;Carlo Strapparava

  • Book Reviews: The Text Mining Handbook: Advanced Approaches to Analyzing Unstructured Data by Ronen Feldman and James Sanger

    Unknown

  • Wikify!: linking documents to encyclopedic knowledge

    Rada Mihalcea;Andras Csomai

  • SemEval-2007 Task 14: Affective Text

    Carlo Strapparava;Rada Mihalcea

  • Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

    Rada Mihalcea;Joyce Chai;Anoop Sarkar

  • Learning to identify emotions in text

    Carlo Strapparava;Rada Mihalcea

  • Graph-based ranking algorithms for sentence extraction, applied to text summarization

    Rada Mihalcea

  • Automatic Detection of Fake News

    Verónica Pérez-Rosas;Bennett Kleinberg;Alexandra Lefevre;Rada Mihalcea

  • SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation

    Eneko Agirre;Carmen Banea;Daniel M. Cer;Mona T. Diab

  • SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability

    Eneko Agirre;Carmen Banea;Claire Cardie;Daniel Cer

  • SemEval-2014 Task 10: Multilingual Semantic Textual Similarity

    Eneko Agirre;Carmen Banea;Claire Cardie;Daniel Cer

  • Learning Multilingual Subjective Language via Cross-Lingual Projections

    Rada Mihalcea;Carmen Banea;Janyce Wiebe

  • Towards multimodal sentiment analysis: harvesting opinions from the web

    Louis-Philippe Morency;Rada Mihalcea;Payal Doshi

  • Unsupervised Large-Vocabulary Word Sense Disambiguation with Graph-based Algorithms for Sequence Data Labeling

    Rada Mihalcea

  • Measuring the Semantic Similarity of Texts

    Courtney Corley;Rada Mihalcea

  • Using Wikipedia for Automatic Word Sense Disambiguation

    Rada Mihalcea

  • ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection.

    Devamanyu Hazarika;Soujanya Poria;Rada Mihalcea;Erik Cambria

  • The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language

    Rada Mihalcea;Carlo Strapparava

  • Unsupervised Graph-basedWord Sense Disambiguation Using Measures of Word Semantic Similarity

    R. Sinha;R. Mihalcea

  • Text-to-Text Semantic Similarity for Automatic Short Answer Grading

    Michael Mohler;Rada Mihalcea

  • Word Sense and Subjectivity

    Janyce Wiebe;Rada Mihalcea

Frequent Co-Authors

Janyce Wiebe
Janyce Wiebe University of Pittsburgh
Soujanya Poria
Soujanya Poria Nanyang Technological University
Dragomir R. Radev
Dragomir R. Radev Yale University
Carlo Strapparava
Carlo Strapparava Fondazione Bruno Kessler
Dan Moldovan
Dan Moldovan The University of Texas at Dallas
Jia Deng
Jia Deng Princeton University
Razvan Bunescu
Razvan Bunescu University of North Carolina at Charlotte
Erik Cambria
Erik Cambria Nanyang Technological University
Roger Zimmermann
Roger Zimmermann National University of Singapore
James W. Pennebaker
James W. Pennebaker The University of Texas at Austin

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