2010 TIARAaVisualExploratoryTextAnal

• (Wei et al., 2010) ⇒ Furu Wei, Shixia Liu, Yangqiu Song, Shimei Pan, Michelle X. Zhou, Weihong Qian, Lei Shi, Li Tan, and Qiang Zhang. (2010). “TIARA: A Visual Exploratory Text Analytic System.” In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2010). doi:10.1145/1835804.1835827

Subject Headings:

Notes

• Categories and Subject Descriptors: H.2.8 Database Management: Database applications — Data mining; H.3.1 Information Storage and Retrieval: Content Analysis and Indexing; H.4 Information Systems Applications: User Interfaces
• General Terms: Algorithms; Experimentation

Cited By

• http://scholar.google.com/scholar?q=%22TIARA%3A+a+visual+exploratory+text+analytic+system%22+2010
• http://portal.acm.org/citation.cfm?id=1835827&preflayout=flat#citedby

Quotes

Author Keywords

Visual text analytics, exploratory analytics, document summarization, topic analysis, interactive visualization

Abstract

In this paper, we present a novel exploratory visual analytic system called TIARA (Text Insight via Automated Responsive Analytics), which combines text analytics and interactive visualization to help users explore and analyze large collections of text. Given a collection of documents, TIARA first uses topic analysis techniques to summarize the documents into a set of topics, each of which is represented by a set of keywords. In addition to extracting topics, TIARA derives time-sensitive keywords to depict the content evolution of each topic over time. To help users understand the topic-based summarization results, TIARA employs several interactive text visualization techniques to explain the summarization results and seamlessly link such results to the original text. We have applied TIARA to several real-world applications, including email summarization and patient record analysis. To measure the effectiveness of TIARA, we have conducted several experiments. experimental results and initial user feedback suggest that TIARA is effective in aiding users in their exploratory text analytic tasks.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2010 TIARAaVisualExploratoryTextAnal	Lei Shi Furu Wei Shixia Liu Yangqiu Song Shimei Pan Michelle X. Zhou Weihong Qian Li Tan Qiang Zhang			TIARA: A Visual Exploratory Text Analytic System		KDD-2010 Proceedings		10.1145/1835804.1835827		2010