titles: Titles sample
In genderizeR: Gender Prediction Based on First Names
Description
Usage
Format
Source
Description
A dataset containing a simple random sample of article titles
from WebOfScience records
of articles of "biographical-items" or "items-about-individual" types
from all fields of study
published from 1945 to 2014.
The sample was drawn in December 2014.
Usage
1
Format
A data frame with 1190 rows and 2 variables:
- title
The title of an article.
- genderCoded
Manually coded gender of a person mentioned in the
title. There are four codes: "female", "male", "both", "none".
"None" is the code for a case were human coders were not able to find
a full name in the title or verify if she or he is a man or a female.
"Both" is the code for two rare cases in the dataset where two people
were mentioned in the title and one of them was male and the other
was female.
Source
genderizeR documentation built on Aug. 4, 2019, 5:02 p.m.
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Description Usage Format Source
Description
A dataset containing a simple random sample of article titles from WebOfScience records of articles of "biographical-items" or "items-about-individual" types from all fields of study published from 1945 to 2014. The sample was drawn in December 2014.
Usage
1 |
Format
A data frame with 1190 rows and 2 variables:
- title
The title of an article.
- genderCoded
Manually coded gender of a person mentioned in the title. There are four codes: "female", "male", "both", "none". "None" is the code for a case were human coders were not able to find a full name in the title or verify if she or he is a man or a female. "Both" is the code for two rare cases in the dataset where two people were mentioned in the title and one of them was male and the other was female.
Source
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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