Visualizaton tool conducted by Stanford University (Bill Lane Center for the American West) and University of North Texas that plots language patterns 232,567 pages of historical Texas newspapers, as they evolved over time and space
http://language.mappingtexts.org/
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mapping texts/texas | language.mappingtexts.org Reviews
https://language.mappingtexts.org
Visualizaton tool conducted by Stanford University (Bill Lane Center for the American West) and University of North Texas that plots language patterns 232,567 pages of historical Texas newspapers, as they evolved over time and space
Coursework Archives - Amanda Regan
http://www.amanda-regan.com/category/coursework
BEGIN TYPING YOUR SEARCH ABOVE AND PRESS RETURN TO SEARCH. PRESS ESC TO CANCEL. Digital and Fitness History. Digital History Readings Course. December 9, 2014. December 10, 2014. Mapping Gymnasiums in Boston, 1914-1924 (A Visualization for Clio 3). Mapping Gymnasiums in Boston, 1914-1929. In 1889 Josiah Quincey was elected Mayor of Boston. Shows the location of each municipal and private gymnasium in Boston between 1914 and 1925 and provides some information about the ward that these gymnasiums existed in.
Digital History Readings Course Archives - Amanda Regan
http://www.amanda-regan.com/category/coursework/digital-history-readings-course
BEGIN TYPING YOUR SEARCH ABOVE AND PRESS RETURN TO SEARCH. PRESS ESC TO CANCEL. Digital and Fitness History. Digital History Readings Course. Category: Digital History Readings Course. This category is comprised of posts for my minor field in Digital History. August 4, 2014. December 17, 2014. Digital History Readings Course. Digital History Minor Field, Part 5: Topic Modeling. During the Digital History Fellows in the Research Division last spring, we were asked to do a topic modeling project. By not un...
People
http://mappingtexts.library.unt.edu/index57fd.html?page_id=63
MappingTexts is a collaboration by scholars, staff and students at The University of North Texas and Stanford University, including the Texas Digital Newspaper Program. And The Bill Lane Center for the American West. Assistant Professor, History. University of North Texas. Bill Lane Center for the American West. PhD Candidate, American History. Assistant Dean for Digital Libraries. University of North Texas. Text Mining and Analysis. University of North Texas. University of North Texas.
Mapping Texts
http://mappingtexts.library.unt.edu/indexd784.html?feed=rss2
Http:/ mappingtexts.library.unt.edu. Mon, 30 Apr 2012 16:29:49 0000. Visualization: Assessing Language Patterns. Http:/ mappingtexts.library.unt.edu/? Http:/ mappingtexts.library.unt.edu/? Thu, 29 Mar 2012 23:45:04 0000. Http:/ mappingtexts.library.unt.edu/? See the visualization at language.mappingtexts.org. Http:/ mappingtexts.library.unt.edu/? Paper: Topic Modeling on Historical Newspapers. Http:/ mappingtexts.library.unt.edu/? Http:/ mappingtexts.library.unt.edu/? Tue, 27 Sep 2011 01:08:48 0000.
Data
http://mappingtexts.library.unt.edu/index5954.html?page_id=319
Data and Source Materials for Mapping Texts. List of Cities and Publications in Document Collection. Newspapers used from the Texas Digital Newspaper Collection. Natural Language Processing Results. We are sharing data files containing the results of various natural language processing tools that we used on the document collection:. Lists of words in descending order of frequency, sliced and diced by year, location and title. Results: people, places, organizations recognized from the text. For downloadin...
Historical Topics
http://mappingtexts.library.unt.edu/index81ea.html?cat=3
Currently viewing the category: "Historical Topics". Paper: Topic Modeling on Historical Newspapers. September 27, 2011. As part of our ongoing research into text-mining historical newspapers, we’ve been experimenting with new methods for extracting language patterns scattered across millions of digitized words. One of the most intriguing methods for such work that has emerged in recent years is topic-modeling. The idea of topic modeling is, at base, to use mathematical and [.]. 2011), pp. 96-104.
Text Mining
http://mappingtexts.library.unt.edu/indexc728.html?cat=7
Currently viewing the category: "Text Mining". Paper: Topic Modeling on Historical Newspapers. September 27, 2011. As part of our ongoing research into text-mining historical newspapers, we’ve been experimenting with new methods for extracting language patterns scattered across millions of digitized words. One of the most intriguing methods for such work that has emerged in recent years is topic-modeling. The idea of topic modeling is, at base, to use mathematical and [.]. 2011), pp. 96-104.
Visualizations
http://mappingtexts.library.unt.edu/index9ad7.html?cat=35
Currently viewing the category: "Visualizations". Visualization: Assessing Language Patterns. March 29, 2012. Continue reading ». May 12, 2011. Continue reading ». Mapping Texts is a collaboration between scholars, staff and students at Stanford University. And the University of North Texas. It is supported by the National Endowment for the Humanities. Bill Lane Center for the American West. Texas Digital Newspaper Collection. Visualization: Assessing Language Patterns. Thanks for dropping by!
Visualization: Assessing Language Patterns
http://mappingtexts.library.unt.edu/index9873.html?p=231
Paper: Topic Modeling on Historical Newspapers. Visualization: Assessing Language Patterns. March 29, 2012. See the visualization at language.mappingtexts.org. If you enjoyed this article, please consider sharing it! Mapping Texts is a collaboration between scholars, staff and students at Stanford University. And the University of North Texas. It is supported by the National Endowment for the Humanities. Bill Lane Center for the American West. Texas Digital Newspaper Collection. Thanks for dropping by!
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mapping texts/texas
MappingTexts - Stanford University and University of North Texas. Assessing Language Patterns: A Look at Texas Newspapers, 1829-2008. This visualization plots the language patterns embedded in 232,567 pages of historical Texas newspapers, as they evolved over time and space. For any date range and location, you can browse the most common words (word counts), named entities (people, places, etc), and highly correlated words (topic models). [ About Mapping Texts. For more information about the language ana...
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