LensingWikipedia: Parsing text for the interactive visualization of human history

Extracting information from text is challenging. Most current practices treat text as a bag of words or word clusters, ignoring valuable linguistic information. Leveraging this linguistic information, we propose a novel approach to visualize textual information. The novelty lies in using state-of-th...

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Bibliographic Details
Main Authors: Vadlapudi, R., Siahbani, M., Sarkar, A., Dill, J.
Format: Conference Proceeding
Language:English
Subjects:
Data mining
Electronic publishing
Encyclopedias
Internet
Pragmatics
Semantics
Online Access:Request full text
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Summary:Extracting information from text is challenging. Most current practices treat text as a bag of words or word clusters, ignoring valuable linguistic information. Leveraging this linguistic information, we propose a novel approach to visualize textual information. The novelty lies in using state-of-the-art Natural Language Processing (NLP) tools to automatically annotate text which provides a basis for new and powerful interactive visualizations. Using NLP tools, we built a web-based interactive visual browser for human history articles from Wikipedia.
DOI:10.1109/VAST.2012.6400530