dataset_sentence_polarity {textdata}

v1.0 sentence polarity dataset

Description

5331 positive and 5331 negative processed sentences / snippets. Introduced in Pang/Lee ACL 2005. Released July 2005.

Usage

dataset_sentence_polarity(
  dir = NULL,
  delete = FALSE,
  return_path = FALSE,
  clean = FALSE,
  manual_download = FALSE
)

Arguments

dir

Character, path to directory where data will be stored. If NULL, user_cache_dir will be used to determine path.

delete

Logical, set TRUE to delete dataset.

return_path

Logical, set TRUE to return the path of the dataset.

clean

Logical, set TRUE to remove intermediate files. This can greatly reduce the size. Defaults to FALSE.

manual_download

Logical, set TRUE if you have manually downloaded the file and placed it in the folder designated by running this function with return_path = TRUE.

Details

Citation info:

This data was first used in Bo Pang and Lillian Lee, “Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales.”, Proceedings of the ACL, 2005.

InProceedings{pang05,
author = {Bo Pang and Lillian Lee},
title = {Seeing stars: Exploiting class relationships for sentiment
categorization with respect to rating scales},
booktitle = {Proceedings of the ACL},
year = 2005
}

Value

A tibble with 10,662 rows and 2 variables:

text

Sentences or snippets

sentiment

Indicator for sentiment, "neg" for negative and "pos" for positive

Source

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

Examples

## Not run: 
dataset_sentence_polarity()

# Custom directory
dataset_sentence_polarity(dir = "data/")

# Deleting dataset
dataset_sentence_polarity(delete = TRUE)

# Returning filepath of data
dataset_sentence_polarity(return_path = TRUE)

## End(Not run)