Image © Paul Watson, Licence CC BY-NC-SA 2.0
Keywords: gazetteer, keyword extraction, text processing, python
http://programminghistorian.org/lessons/extracting-keywords
This lesson is useful for anyone who works with historical sources that are stored locally on their own computer, and that are transcribed into mutable electronic text (eg, .txt, .xml, .rtf, .md). It is particularly useful for people interested in identifying subsets of documents containing one or more of a fairly large number of keywords. This might be useful for identifying a relevant subset for closer reading, or for extracting and structuring the keywords in a format that can be used in another tool: as input for a mapping exercise, for example.
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| Institution: | The Programming Historian |
| Year of publication: | 2015 |
| Language: | english |
| Type: | text for self-study |
| Audience: | historians, philologists, linguists |
| Level: | intermediate |
| Prerequisites: | Some python knowledge |
| Media: | text/html |
| Objective: | |
| Licence: | CC-BY-2.0 |
| Access: | open |
| Creation date: | Wednesday, 5 April 2017 16:26:54 |
| Last modified: | Thursday, 2 May 2024 09:05:24 |
| BibTeX type: | @misc |
@misc(TeLeMaCo:374,
author = "Crymble, Adam",
title = "{U}sing {G}azetteers to {E}xtract {S}ets of {K}eywords from {F}ree-{F}lowing {T}exts",
year = "2015",
url = "http://programminghistorian.org/lessons/extracting-keywords"
)
