corpus: Texts (not) relevant to the U.S. economy
In keblu/GWP: Generalized Word Power Approach
Description
Usage
Format
Source
Description
A collection of texts annotated by humans in terms of relevance to the U.S. economy or not. The texts come from two major
journals in the U.S. (The Wall Street Journal and The Washington Post) and cover 4145 documents between 1995 and 2014. It
contains following information:
Usage
1
data("corpus")
Format
A data frame with 4145 rows and 3 variables:
- docID
Unique document ID
- regID
Date in format yyyy-mm
- texts
Texts in character format.
Source
Economic News Article Tone and Relevance. Retrieved
November 1, 2017.
keblu/GWP documentation built on June 15, 2020, 11:43 p.m.
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Description Usage Format Source
Description
A collection of texts annotated by humans in terms of relevance to the U.S. economy or not. The texts come from two major journals in the U.S. (The Wall Street Journal and The Washington Post) and cover 4145 documents between 1995 and 2014. It contains following information:
Usage
1 | data("corpus")
|
Format
A data frame with 4145 rows and 3 variables:
- docID
Unique document ID
- regID
Date in format yyyy-mm
- texts
Texts in
characterformat.
Source
Economic News Article Tone and Relevance. Retrieved November 1, 2017.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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