Solka : Text Data Mining: Theory and Methods - Project …
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Since context information significantly affects the choices of topics and language made by authors, in general, it is very important to incorporate it into analyzing and mining text data.
Data Mining Phd Thesis - Data Mining Phd Thesis The Ph D students who are currently Students are welcome to work with me in all areas of Data Mining and related applicationsMachine Learning Research Group | Strong>Text data mining concerns the application of data mining (knowledge discovery in databases, KDD) to unstructured textual data Our work focuses on Phd Thesis Data Mining - Phd Thesis Data Mining phd thesis data mining How to cite this? Rodriguez-Esteban, Raul Methods in biomedical text mining Ph D Thesis, Columbia University, 2008
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At the same time, CCA authorized the Research Center for Digital Humanities (RCDH) of NTU to create a digital library so that the digital files of the found materials could be used on line. In addition to creating THDL, the Taiwan History Digital Library, RCDH also added a significant number of documents that were collected later. THDL now contains three corpuses, all in searchable full-text. The Ming and Qing Taiwan-related Court Document Collection, numbered at 45,722, are collected from about 300 different sources and includes memorials, imperial edicts, excerpts from personal journals of local officials, and local gazetteers. The Old Land Deeds Collection contains 36,535 pre-1910 deeds from over 100 sources, with new material added every month. The Danxin Archives includes about 1,151 government court cases with 19,557 documents. Together they form the largest collection of its kind, with over 100,000 documents, all with metadata and searchable full text. The three corpuses reflect 18th and 19th century Taiwan from the views of the central government, the local government, and grassroots respectively. THDL has been available for free over the Internet since 2009, and has already made an impact on research of Taiwanese history.
In 2002 the Council of Cultural Affairs of Taiwan commissioned the National Taiwan University Library to select imperial court documents relevant to Taiwan from the Ming and Qing court archives, and the National Taichung Library to collect local deeds (especially land deeds). More than 30,000 court documents and 19,000 local deeds were collected and transcribed into full text. Most of the court documents and a portion of the land deeds were then published, from 2003 to 2007, into a book series of 147 volumes.
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The framework of contextual text mining not only unifies many explorations of text analysis with context information, but also opens up many new possibilities for future research directions in text mining.
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Publications: Text Data Mining - University of Texas at …
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IDEALS @ Illinois: Contextual text mining
Text mining - Wikipedia
has widespread applications in text mining
While the text mining techniques that we have described here are designed for the Chinese language, the retrieval methodology of treating a query return as a sub-collection and the mechanisms for discovering and representing its collective meanings is universal. It provides a way to present and analyze the query return that seems better suitable for scholars to explore digital archives than the more conventional search engine that treats a query return as a ranked list.
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In order to accomplish the above we developed a number of text-mining techniques. Term extraction methods were developed to extract more than 90,000 name entities from the corpuses (Hsieh 2011), and information such as the locations, dates, the four reaches of the land deeds, prices, and patterns. Matching algorithms were designed to find the transaction, citation and other relations mentioned above (Huang 2009; Chen 2011). GIS-related spatial-temporal techniques have also been developed (Ou 2011).
SAS Technical Papers » Data Mining and Text Mining
We began to populate the database largely through text-mining and text-modeling procedures. We began with Named Entity Recognition procedures (e.g. finding text-strings that matched reign periods titles, numbers, years, months, and days to capture dates, with 99% recall and precision) written in Python. We then proceeded to write more complex Regular Expressions to identify, for example, the office a person assumed at a certain date, where the office title is unknown. Currently we are implementing probabilistic procedures to identify the social relationship between the biographical subject and the names of people co-occurring in the biographical text (we have reached a 60% match with the training data).
Text mining research paper - Academic Writing …
The China Biographical Database (CBDB) has been accumulating biographical data on historical figures, mainly from the 7th through early 20th century. It populates the database by applying text-mining procedures to large bodies of digital texts. Users can query the system in terms of place, time, office, social associations and kinship, and export the results for further analysis with GIS, social networks, and statistical software. The Research Center for the Digital Humanities at National Taiwan University developed the Taiwan History Digital Library, a system for the spatial and temporal visualization of the distribution of Taiwan historical land deeds, creating a temporally-enabled map interface that allows users to discover relevant documents, examine them and track their frequency. Using CBDB code tables of person names, place names, and official titles for text mark-up, the Center is now applying this system to a compendium of 80,000 documents from the 10th through early 13th century that cover all aspects of government, including such diverse topics as religious activity, tax revenues and bureaucratic appointments. Users will be able to track the careers of individuals and call up their CBDB biographies through time and space as well as seeing when, where, and what the government was doing. This will be a model for incorporating the still larger compendia of government documents from later periods. Data will be discovered (e.g. the location and date of official appointments) and deposited into the CBDB. The Ming Qing Womenâs Writings (MQWW) project is a multilingual online database of 5000 women writers from Chinese history which includes scans of hitherto unavailable works and analyses of their content. Users can query the database by both person and literary content. Using APIs to create system interoperability between MQWW and CBDB, MQWW is building into its interface the ability to call up CBDB data on kinship, associations, and careers of the persons in MQWW. For their part CBDB users will be able to discover the writings of women through the CBDB interface.
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