data_corpus_ungd2017: UN General Debate speeches, 2017
In quanteda/quanteda.corpora: A collection of corpora for quanteda
Description
Usage
Format
Source
References
Description
A corpus of 196 speeches from the 2017 UN General Debate. The raw corpus with
all speeches since 1970 is available at:
https://doi.org/10.7910/DVN/0TJX8Y. The economic data for 2017 (GDP and
GDP per capita) are downloaded from the World Bank website.
Usage
1
Format
The corpus includes the following document variables:
- country_iso
ISO3c country code, e.g. "AFG" for Afghanistan
- un_session
UN session, a numeric identifier (in this case, 72)
- year
4-digit year (2017).
- country
Country name, in English.
- continent
Continent of the country, one of: Africa, Americas, Asia,
Europe, Oceania. Note that the speech delivered on behalf of the
European Union is coded as "Europe".
- gdp
GDP in $US for 2017, from the World Bank. Contains missing
values for 9 countries.
- gdp_per_capita
GDP per capita in $US for 2017, derived from the
World Bank. Contains missing values for 9 countries.
Source
Mikhaylov, M., Baturo, A., & Dasandi, N. (2017). United Nations
General Debate Corpus. Harvard Dataverse, V4. URL:
https://doi.org/10.7910/DVN/0TJX8Y.
References
Mikhaylov, M., Baturo, A., & Dasandi, N. (2017). United Nations
General Debate Corpus. Harvard Dataverse, V4. URL:
https://doi.org/10.7910/DVN/0TJX8Y.
Baturo, A., Dasandi, N., & Mikhaylov, S. (2017).
Understanding State Preferences With Text As Data: Introducing the UN General Debate Corpus. Research and
Politics 4(2): 1–9.
quanteda/quanteda.corpora documentation built on Nov. 16, 2020, 12:45 a.m.
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Description Usage Format Source References
Description
A corpus of 196 speeches from the 2017 UN General Debate. The raw corpus with all speeches since 1970 is available at: https://doi.org/10.7910/DVN/0TJX8Y. The economic data for 2017 (GDP and GDP per capita) are downloaded from the World Bank website.
Usage
1 |
Format
The corpus includes the following document variables:
- country_iso
ISO3c country code, e.g. "AFG" for Afghanistan
- un_session
UN session, a numeric identifier (in this case, 72)
- year
4-digit year (2017).
- country
Country name, in English.
- continent
Continent of the country, one of: Africa, Americas, Asia, Europe, Oceania. Note that the speech delivered on behalf of the European Union is coded as "Europe".
- gdp
GDP in $US for 2017, from the World Bank. Contains missing values for 9 countries.
- gdp_per_capita
GDP per capita in $US for 2017, derived from the World Bank. Contains missing values for 9 countries.
Source
Mikhaylov, M., Baturo, A., & Dasandi, N. (2017). United Nations General Debate Corpus. Harvard Dataverse, V4. URL: https://doi.org/10.7910/DVN/0TJX8Y.
References
Mikhaylov, M., Baturo, A., & Dasandi, N. (2017). United Nations General Debate Corpus. Harvard Dataverse, V4. URL: https://doi.org/10.7910/DVN/0TJX8Y.
Baturo, A., Dasandi, N., & Mikhaylov, S. (2017). Understanding State Preferences With Text As Data: Introducing the UN General Debate Corpus. Research and Politics 4(2): 1–9.
R Package Documentation
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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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