movie_review: IMDB movie reviews
In text2vec: Modern Text Mining Framework for R
movie_review R Documentation
IMDB movie reviews
Description
The labeled dataset consists of 5000 IMDB movie reviews, specially selected
for sentiment analysis. The sentiment of the reviews is binary, meaning an
IMDB rating < 5 results in a sentiment score of 0, and a rating >=7 has a
sentiment score of 1. No individual movie has more than 30 reviews. Important
note: we removed non ASCII symbols from the original dataset to satisfy CRAN
policy.
Usage
data("movie_review")
Format
A data frame with 5000 rows and 3 variables:
- id
Unique ID of each review
- sentiment
Sentiment of the
review; 1 for positive reviews and 0 for negative reviews
- review
Text of the review (UTF-8)
Source
text2vec documentation built on Nov. 9, 2023, 9:07 a.m.
R Package Documentation
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| movie_review | R Documentation |
IMDB movie reviews
Description
The labeled dataset consists of 5000 IMDB movie reviews, specially selected for sentiment analysis. The sentiment of the reviews is binary, meaning an IMDB rating < 5 results in a sentiment score of 0, and a rating >=7 has a sentiment score of 1. No individual movie has more than 30 reviews. Important note: we removed non ASCII symbols from the original dataset to satisfy CRAN policy.
Usage
data("movie_review")
Format
A data frame with 5000 rows and 3 variables:
- id
Unique ID of each review
- sentiment
Sentiment of the review; 1 for positive reviews and 0 for negative reviews
- review
Text of the review (UTF-8)
Source
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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