data_corpus_EPcoaldebate: Crowd-labelled sentence corpus from a 2010 EP debate on coal...

Description Usage Format References

Description

A multilingual text corpus of speeches from a European Parliament debate on coal subsidies in 2010, with individual crowd codings as the unit of observation. The sentences are drawn from officially translated speeches from a debate over a European Parliament debate concerning a Commission report proposing an extension to a regulation permitting state aid to uncompetitive coal mines.

Each speech is available in six languages: English, German, Greek, Italian, Polish and Spanish. The unit of observation is the individual crowd coding of each natural sentence. For more information on the coding approach see Benoit et al. (2016).

Usage

1

Format

The corpus consists of 16,806 documents (i.e. codings of a sentence) and includes the following document-level variables:

sentence_id

character; a unique identifier for each sentence

crowd_subsidy_label

factor; whether a coder labelled the sentence as "Pro-Subsidy", "Anti-Subsidy" or "Neutral or inapplicable"

language

factor; the language (translation) of the speech

name_last

character; speaker's last name

name_first

character; speaker's first name

ep_group

factor; abbreviation of the EP party group of the speaker

country

factor; the speaker's country of origin

vote

factor; the speaker's vote on the proposal (For/Against/Abstain/NA)

coder_id

character; a unique identifier for each crowd coder

coder_trust

numeric; the "trust score" from the Crowdflower platform used to code the sentences, which can theoretically range between 0 and 1. Only coders with trust scores above 0.8 are included in the corpus.

A corpus object.

References

Benoit, K., Conway, D., Lauderdale, B.E., Laver, M., & Mikhaylov, S. (2016). Crowd-sourced Text Analysis: Reproducible and Agile Production of Political Data. American Political Science Review, 100,(2), 278–295. doi: 10.1017/S0003055416000058


quanteda.textmodels documentation built on April 6, 2021, 9:06 a.m.