lexicon_bing: Bing sentiment lexicon

Description

General purpose English sentiment lexicon that categorizes words in a binary fashion, either positive or negative

Usage

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

Value

A tibble with 6,787 rows and 2 variables:

word: An English word
sentiment: Indicator for sentiment: "negative" or "positive"

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 dataset was first published in Minqing Hu and Bing Liu, ``Mining and summarizing customer reviews.'', Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2004), 2004.

inproceedings{Hu04,
author = {Hu, Minqing and Liu, Bing},
title = {Mining and Summarizing Customer Reviews},
booktitle = {Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
series = {KDD '04},
year = {2004},
isbn = {1-58113-888-1},
location = {Seattle, WA, USA},
pages = {168--177},
numpages = {10},
url = {http://doi.acm.org/10.1145/1014052.1014073},
doi = {10.1145/1014052.1014073},
acmid = {1014073},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {reviews, sentiment classification, summarization, text mining},
}

Examples

Run this code

if (FALSE) {
lexicon_bing()

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

# Deleting dataset
lexicon_bing(delete = TRUE)

# Returning filepath of data
lexicon_bing(return_path = TRUE)
}