ConceptVector: Text Visual Analytics via Interactive Lexicon Building Using Word Embedding

Central to many text analysis methods is the notion of a concept: a set of semantically related keywords characterizing a specific object, phenomenon, or theme. Advances in word embedding allow building a concept from a small set of seed terms. However, naive application of such techniques may resul...

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Bibliographic Details
Published in:IEEE transactions on visualization and computer graphics 2018-01, Vol.24 (1), p.361-370
Main Authors: Deokgun Park, Seungyeon Kim, Jurim Lee, Jaegul Choo, Diakopoulos, Nicholas, Elmqvist, Niklas
Format: Article
Language:English
Subjects:
Analytics
Buildings
Computational modeling
concepts
Data visualization
Embedding
Quantitative analysis
Semantics
Sentiment analysis
Text analysis
Text analytics
text classification
text summarization
Visual analytics
word embedding
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