C
Catherine Havasi
Researcher at Massachusetts Institute of Technology
Publications - 56
Citations - 6295
Catherine Havasi is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Commonsense knowledge & Sentiment analysis. The author has an hindex of 24, co-authored 56 publications receiving 5033 citations. Previous affiliations of Catherine Havasi include Boston University & Brandeis University.
Papers
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Proceedings Article
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
TL;DR: ConceptNet as mentioned in this paper is a knowledge graph that connects words and phrases of natural language with labeled edges to represent the general knowledge involved in understanding language, improving natural language applications by allowing the application to better understand the meanings behind the words people use.
Journal ArticleDOI
New Avenues in Opinion Mining and Sentiment Analysis
TL;DR: The history, current use, and future of opinion mining and sentiment analysis are discussed, along with relevant techniques and tools.
Posted Content
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
TL;DR: ConceptNet as discussed by the authors is a knowledge graph that connects words and phrases of natural language with labeled edges to represent the general knowledge involved in understanding language, improving natural language applications by allowing the application to better understand the meanings behind the words people use.
Proceedings Article
Representing General Relational Knowledge in ConceptNet 5
Robert Speer,Catherine Havasi +1 more
TL;DR: The latest iteration of ConceptNet 5 is presented, including its fundamental design decisions, ways to use it, and evaluations of its coverage and accuracy.
Journal ArticleDOI
Common Sense Reasoning for Detection, Prevention, and Mitigation of Cyberbullying
TL;DR: In this paper, the authors present an approach for bullying detection based on state-of-the-art natural language processing and a common sense knowledge base, which permits recognition over a broad spectrum of topics in everyday life.