strong_movie_review_data: Strong Movie Reviews from IMDB
In nlanderson9/languagePredictR: Predict Outcomes from Natural Language
Description
Usage
Format
Source
Description
A dataset containing the text and ratings of 2000 movie reviews from IMDB. 1000 are strongly negative (rating of 1) and 1000 are strongly positive (rating of 10).
Usage
1
Format
A data frame with 2000 rows and 3 variables:
- text
text of the user's movie review
- valence
valence of the user's movie review, Positive (rating of 1) or Negative (rating of 10)
- rating
user's rating of the movie, on a scale of 1-10
Source
http://ai.stanford.edu/~amaas/data/sentiment/
nlanderson9/languagePredictR documentation built on June 10, 2021, 11 a.m.
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Description Usage Format Source
Description
A dataset containing the text and ratings of 2000 movie reviews from IMDB. 1000 are strongly negative (rating of 1) and 1000 are strongly positive (rating of 10).
Usage
1 |
Format
A data frame with 2000 rows and 3 variables:
- text
text of the user's movie review
- valence
valence of the user's movie review,
Positive(rating of 1) orNegative(rating of 10)- rating
user's rating of the movie, on a scale of 1-10
Source
http://ai.stanford.edu/~amaas/data/sentiment/
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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