data_corpus_LMRD: Large Movie Review Dataset from Maas et. al. (2011)
In quanteda/quanteda.classifiers: Models for supervised text classification
data_corpus_LMRD R Documentation
Large Movie Review Dataset from Maas et. al. (2011)
Description
A corpus object containing a dataset for sentiment classification containing
25,000 highly polar movie reviews for training, and 25,000 for testing, from
Maas et. al. (2011).
Usage
data_corpus_LMRD
Format
The corpus docvars consist of:
- docnumber
serial (within set and polarity) document number
- rating
user-assigned movie rating on a 1-10 point integer scale
- set
used for test v. training set
- polarity
either neg or pos to indicate whether the
movie review was negative or positive. See Maas et al (2011) for the
cut-off values that governed this assignment.
Source
http://ai.stanford.edu/~amaas/data/sentiment/
References
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew
Y. Ng, and Christopher Potts. (2011).
"Learning Word Vectors for Sentiment Analysis". The 49th Annual Meeting of the
Association for Computational Linguistics (ACL 2011).
quanteda/quanteda.classifiers documentation built on Oct. 20, 2023, 6:53 a.m.
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| data_corpus_LMRD | R Documentation |
Large Movie Review Dataset from Maas et. al. (2011)
Description
A corpus object containing a dataset for sentiment classification containing 25,000 highly polar movie reviews for training, and 25,000 for testing, from Maas et. al. (2011).
Usage
data_corpus_LMRD
Format
The corpus docvars consist of:
- docnumber
serial (within set and polarity) document number
- rating
user-assigned movie rating on a 1-10 point integer scale
- set
used for test v. training set
- polarity
either
negorposto indicate whether the movie review was negative or positive. See Maas et al (2011) for the cut-off values that governed this assignment.
Source
http://ai.stanford.edu/~amaas/data/sentiment/
References
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts. (2011). "Learning Word Vectors for Sentiment Analysis". The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011).
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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