| lexicon_bing | R Documentation | 
General purpose English sentiment lexicon that categorizes words in a binary fashion, either positive or negative
lexicon_bing(
  dir = NULL,
  delete = FALSE,
  return_path = FALSE,
  clean = FALSE,
  manual_download = FALSE
)
dir | 
 Character, path to directory where data will be stored. If
  | 
delete | 
 Logical, set   | 
return_path | 
 Logical, set   | 
clean | 
 Logical, set   | 
manual_download | 
 Logical, set   | 
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}, 
}
A tibble with 6,787 rows and 2 variables:
An English word
Indicator for sentiment: "negative" or "positive"
https://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html
Other lexicon: 
lexicon_afinn(),
lexicon_loughran(),
lexicon_nrc(),
lexicon_nrc_eil(),
lexicon_nrc_vad()
## Not run: 
lexicon_bing()
# Custom directory
lexicon_bing(dir = "data/")
# Deleting dataset
lexicon_bing(delete = TRUE)
# Returning filepath of data
lexicon_bing(return_path = TRUE)
## End(Not run)
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