textdata (version 0.1.0)

dataset_sentence_polarity: 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)

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.

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

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 }

Examples

Run this code
# 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)
# }
# NOT RUN {
# }

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