Text Mining History and Literature
Cornell University · NY · INFO3350-
Text Mining History and Literature is a subject at Cornell University, NY. It covers topics like american-literature, data-mining, literature, natural-language-processing. It is part of 6 degrees. The information below is compiled from public course material — approximate, not official.
Cornell University
INFO3350-
3.00
Topics covered
Degrees that include Text Mining History and Literature
- Artificial Intelligence (Minor)
- Data Science (Minor)
- Information Science (BA)
- Information Science (BS)
- Information Science (Minor)
- Information Science, Systems, and Technology (BS)
Frequently asked questions
What is Text Mining History and Literature about?
Text Mining History and Literature covers topics like american-literature, data-mining, literature, natural-language-processing.
Which degrees include Text Mining History and Literature?
Text Mining History and Literature is part of 6 degrees, including Artificial Intelligence (Minor), Data Science (Minor), Information Science (BA), Information Science (BS), Information Science (Minor).
How many credit points is Text Mining History and Literature?
Text Mining History and Literature at Cornell University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Text Mining History and Literature taught?
Text Mining History and Literature is taught at Cornell University, NY.
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Sources: Cornell University public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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