Baker Library has licensed the following newspapers for data mining from ProQuest. Currently, the newspapers are available on hard drives. HBS researchers may contact BRDS@hbs.edu for more information.Â
Harvard affiliates may also want to explore ProQuest TDM Studio, a tool that allows you to mine large volumes of published content.
| Newspaper Title | Years of XML/PDF Articles | Articles-Level vs. Page-level |
|---|---|---|
| Atlanta Constitution | 1868-1930 (XML only) | TBD |
| Austin American Statesman | 1871-1926 | all years article-level |
| The Baltimore Sun | 1837-1932 | all years article-level |
| The Boston Globe | 1872-1987 | all years article-level |
| Chicago Tribune | 1849-1935 | all years article-level |
| The Christian Science Monitor | 1908-1995 | all years article-level |
| The Cincinnati Enquirer | 1841-2009 | 1841-1922 article-level; 1923-2009 page-level |
| Dayton Daily News | TBD | TBD |
| Detroit Free Press | 1831-1999 | 1931-1922 article-level; 1923-1999 page level |
| Hartford Courant | 1764-1934 | all years article-level |
| Los Angeles Times | 1881-1950 | all years article-level |
| Louisville Courier-Journal | 1830-2000 | 1830-1922 article-level; 1923-2000 page-level |
| Nashville Tennessean | 1812-2002 | 1812-1922 article-level; 1923-2002 page-level |
| The New York Times | 1851-1933 (XML only) | TBD |
| New York Tribune/Herald Tribune | 1841-1962 | all years article-level |
| Newsday | 1940-1990 | all years article-level |
| Philadelphia Inquirer | 1860-2001 | all years page-level |
| San Francisco Chronicle | 1865-1922 | all years article-level |
| St. Louis Post-Dispatch | 1874-2003 | 1874-1922 article-level; 1923-2003 page-level |
| Wall Street Journal | 1889-1932 (XML only) | TBD |
| Washington Post | 1877-1937 | TBD |
The Harvard Kennedy School also has a guide on resources available for texting mining.
Text Analysis Tools
MALLET - http://mallet.cs.umass.edu/Â
Voyant Tools - http://voyant-tools.org/
Computational Literature Review (clR) - https://github.com/rvidgen/clr
Google n-gram -Â https://books.google.com/ngrams
Natural Language Toolkit (Python) - http://www.nltk.org/Â
Stanford CoreNLP - https://stanfordnlp.github.io/CoreNLP/index.html#download
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