A data.table dataset containing an augmented version of Hu & Liu's (2004) positive/negative word list as sentiment lookup values.
data(hash_sentiment_huliu)A data frame with 6874 rows and 2 variables
x. Words
y. Sentiment values (+1, 0, -1.05, -1, -2), -2 indicate phrasing that is always negative (e.g., 'too much fun' and 'too much evil' both denote negative though the following word is positive and negative respectively).
Hu, M., & Liu, B. (2004). Mining and summarizing customer reviews. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2004). Seattle, Washington.
Hu, M., & Liu, B. (2004). Mining opinion features in customer reviews. National Conference on Artificial Intelligence.
https://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html