imdb_movie_reviews: Standford Movie Review Dataset
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imdb_movie_reviews R Documentation
Standford Movie Review Dataset
Description
A data.frame consisting of a subset of 100 negative and 200 positive movie reviews from the
dataset provided by Maas et al. (2011). The data.frame consists of three columns. The first column 'text'
stores the movie review. The second stores the labels (0 = negative, 1 = positive). The last column stores the id.
The purpose of the data is for illustration in vignettes.
Usage
imdb_movie_reviews
Format
data.frame
References
Maas, A. L., Daly, R. E., Pham, P. T., Huang, D., Ng, A. Y., & Potts, C. (2011). Learning Word Vectors
for Sentiment Analysis. In D. Lin, Y. Matsumoto, & R. Mihalcea (Eds.), Proceedings of the 49th Annual Meeting of
the Association for Computational Linguistics: Human Language Technologies (pp. 142–150). Association for
Computational Linguistics. https://aclanthology.org/P11-1015
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| imdb_movie_reviews | R Documentation |
Standford Movie Review Dataset
Description
A data.frame consisting of a subset of 100 negative and 200 positive movie reviews from the dataset provided by Maas et al. (2011). The data.frame consists of three columns. The first column 'text' stores the movie review. The second stores the labels (0 = negative, 1 = positive). The last column stores the id. The purpose of the data is for illustration in vignettes.
Usage
imdb_movie_reviews
Format
data.frame
References
Maas, A. L., Daly, R. E., Pham, P. T., Huang, D., Ng, A. Y., & Potts, C. (2011). Learning Word Vectors for Sentiment Analysis. In D. Lin, Y. Matsumoto, & R. Mihalcea (Eds.), Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (pp. 142–150). Association for Computational Linguistics. https://aclanthology.org/P11-1015
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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