| Description: | In this paper, the authors explore the task of automatic text processing applied to collections of historical newspapers, with the aim of assisting historical research. In particular, in this first stage of the project, the authors experiment with the use of topical models as a means to identify potential issues of interest for historians. |
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| Creator(s): | |
| Creation Date: | June 2011 |
| Partner(s): |
UNT College of Arts and Sciences
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| Collection(s): |
UNT Scholarly Works
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| Usage: |
Total Uses: 32
Past 30 days: 0
Yesterday: 0
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| Creator (Author): |
Yang, Tze-I
University of North Texas |
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| Creator (Author): |
Torget, Andrew J.
University of North Texas |
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| Creator (Author): |
Mihalcea, Rada
University of North Texas |
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| Original Creation Date: | June 2011 | |
| Description: | In this paper, the authors explore the task of automatic text processing applied to collections of historical newspapers, with the aim of assisting historical research. In particular, in this first stage of the project, the authors experiment with the use of topical models as a means to identify potential issues of interest for historians. |
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| Degree: |
Department:
History
Department:
Computer Science and Engineering
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| Physical Description: |
9 p. |
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| Keyword(s): | newspapers | historians | automatic text processing | |
| Source: | Association for Computational Linguistics (ACL) Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LATECH), 2011, Portland, Oregon, United States | |
| Contributor(s): |
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| Partner: |
UNT College of Arts and Sciences
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| Collection: |
UNT Scholarly Works
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| Identifier: |
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| Resource Type: | Paper | |
| Format: | Text | |
| Rights: |
Access:
Public
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