dragon.ischool.drexel.edu

Dragon Toolkit

The Dragon ToolKit (Version 1.3.3 2008/01/06). Designed for Text Retrieval and Text Mining. Another important feature of the toolkit is its scalability. Unlike many text mining tools such as Weka, the dragon toolkit is specially designed for large-scale application. The toolkit uses sparse matrix to implement text representations and does not have to load all data into memory in the running time. Therefore, it can handle hundred thousands of documents with very limited memory. How to Cite Dragon Toolkit.

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Dragon Toolkit | dragon.ischool.drexel.edu Reviews

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The Dragon ToolKit (Version 1.3.3 2008/01/06). Designed for Text Retrieval and Text Mining. Another important feature of the toolkit is its scalability. Unlike many text mining tools such as Weka, the dragon toolkit is specially designed for large-scale application. The toolkit uses sparse matrix to implement text representations and does not have to load all data into memory in the running time. Therefore, it can handle hundred thousands of documents with very limited memory. How to Cite Dragon Toolkit.

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1 the dragon toolkit

2 documentation

3 examples

4 demos

5 download

6 stats

7 the personnel

8 xiaohua tony hu

9 thu@ischool drexel edu

10 coupons

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Dragon Toolkit | dragon.ischool.drexel.edu Reviews

https://dragon.ischool.drexel.edu

The Dragon ToolKit (Version 1.3.3 2008/01/06). Designed for Text Retrieval and Text Mining. Another important feature of the toolkit is its scalability. Unlike many text mining tools such as Weka, the dragon toolkit is specially designed for large-scale application. The toolkit uses sparse matrix to implement text representations and does not have to load all data into memory in the running time. Therefore, it can handle hundred thousands of documents with very limited memory. How to Cite Dragon Toolkit.

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dragon.ischool.drexel.edu

1

Dragon Toolkit

http://dragon.ischool.drexel.edu/features.asp

The Dragon ToolKit (Version 1.3.3) Download. Sparse matrix represenation and computationally efficient. Highly scalable to large data set. Well designed Programming API and XML-based Interface. Various document representations including words, multiword phrases, ontology-based concepts, and concept pairs. Various text retrieval models. Text classification, clustering, summarization and topic modeling. Dragon.matrix.vector.PowerMethod. Dragon.matrix.vector.HITS. Dragon.matrix.factorize.SVD. Dragon.ir&...

2

Dragon Toolkit Documentation

http://dragon.ischool.drexel.edu/demo.asp

Online Demostrations Based on the Dragon ToolKit. Semantic Profiling of Human Tags@CiteULike. Social bookmarking has been a popular service in Internet. The co-occurrence of human tag and the text it annotated for gives us a way to explore the meaning of the tag. Such semantic knowledge would be useful in understanding user information needs in IR. Here is a demo based on the dataset of CiteULike from Nov. 2004 to Feb. 2007. Web-based Factoid Question Answering. Brings higher accuracy, but not required.

3

Dragon Toolkit

http://dragon.ischool.drexel.edu/default.asp

The Dragon ToolKit (Version 1.3.3 2008/01/06). Designed for Text Retrieval and Text Mining. Another important feature of the toolkit is its scalability. Unlike many text mining tools such as Weka, the dragon toolkit is specially designed for large-scale application. The toolkit uses sparse matrix to implement text representations and does not have to load all data into memory in the running time. Therefore, it can handle hundred thousands of documents with very limited memory. How to Cite Dragon Toolkit.

4

Example: Topic Modeling

http://dragon.ischool.drexel.edu/example.asp

Examples using the Dragon Toolkit. The simplest way to run DragonToolkit on your computer would be to create an Eclipse Java Project, and update your build path to reference the DragonToolkit jar file. Text Retrieval Using Ontology. Topic Signature Language Models for text retrieval. UMLS-based Concept and Concept Pairs are used as topic signatures. Build a multiword phrase dictionary from a collection. Text Retrieval Using Multiword Phrase. LexRank Generic Multi-Document Summarization.

5

Dragon Toolkit Documentation

http://dragon.ischool.drexel.edu/documentation.asp

The Dragon ToolKit Documentations. API Documentations, June 3rd, 2007 ( Browse. The Dragon Toolkit Developer Guide, June 3rd, 2007 [ PDF. Manipulate Sparse Matrix Efficiently, June 14, 2007 [ PDF.

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cis.drexel.edu

:Xiaohua Tony Hu's Home Page:

http://www.cis.drexel.edu/faculty/thu

Tony Hu, Professor. NSF Center for Visual and Decision Informatics. Journal of Data Mining and Bioinformatics. College of Computing and Informatics, Drexel University, Philadelphia, PA, 19104, USA. Office: 3401 Market Street, Room 325, Phone: 215-895-0551, Email: xh29. 2005 National Science Foundation (NSF) Career Award. Best Student Paper Award. At the 2013 IEEE International Conference on Bioinformatics and Biomedicine. At the 2007 International Conference on Artificial Intelligence. NSF ), $1.20M(.

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dragon.ischool.drexel.edu

Dragon Toolkit

The Dragon ToolKit (Version 1.3.3 2008/01/06). Designed for Text Retrieval and Text Mining. Another important feature of the toolkit is its scalability. Unlike many text mining tools such as Weka, the dragon toolkit is specially designed for large-scale application. The toolkit uses sparse matrix to implement text representations and does not have to load all data into memory in the running time. Therefore, it can handle hundred thousands of documents with very limited memory. How to Cite Dragon Toolkit.

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