R: Movie reviews with polarity from Pang and Lee (2004)

data_corpus_moviereviews {quanteda.textmodels} | R Documentation

## Movie reviews with polarity from Pang and Lee (2004)

### Description

A corpus object containing 2,000 movie reviews classified by positive or negative sentiment.

### Usage

    data_corpus_moviereviews

### Format

The corpus includes the following document variables:

sentiment

  factor indicating whether a review was manually classified as positive `pos` or negative `neg`.

id1

  Character counting the position in the corpus.

id2

  Random number for each review.

### Details

For more information, see `cat(meta(data_corpus_moviereviews, "readme"))`.

### Source

https://www.cs.cornell.edu/people/pabo/movie-review-data/

### References

Pang, B., Lee, L. (2004) "A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts.", Proceedings of the ACL.

### Examples

    # check polarities
    table(data_corpus_moviereviews$sentiment)

    # make the data into sentences, because each line is a sentence
    data_corpus_moviereviewsents <-
        quanteda::corpus_segment(data_corpus_moviereviews, "\n", extract_pattern = FALSE)
    print(data_corpus_moviereviewsents, max_ndoc = 3)

[Package quanteda.textmodels version 0.9.4 Index]