Citing

Shifterator

If you use shifterator, please cite the following paper:

Gallagher, Ryan. J., Morgan R. Frank, Lewis Mitchell, Aaron J. Schwartz, Andrew J. Reagan, Christopher M. Danforth, and Peter Sheridan Dodds. “Generalized Word Shift Graphs: A Method for Visualizing and Explaining Pairwise Comparisons Between Texts.”” EPJ Data Science 10, no. 4 (2021).

Sentiment Lexicons

If you use any of the lexicons included in shifterator for sentiment or any other dictionary-based analysis, please also cite their corresponding papers.

labMT

If you use the English labMT lexicon, cite the following paper:

Dodds, Peter Sheridan, Kameron Decker Harris, Isabel M. Kloumann, Catherine A. Bliss, and Christopher M. Danforth. “Temporal patterns of happiness and information in a global social network: Hedonometrics and Twitter.” PLoS ONE 6, no. 12 (2011).

If you use any of the non-English labMT lexicons, cite the following paper:

Dodds, Peter Sheridan, Eric M. Clark, Suma Desu, Morgan R. Frank, Andrew J. Reagan, Jake Ryland Williams, Lewis Mitchell et al. “Human language reveals a universal positivity bias.” Proceedings of the National Academy of Sciences 112, no. 8 (2015): 2389-2394.

NRC

If you use any of the NRC emotion intensity dictionaries, cite the following paper:

Word Affect Intensities. Saif M. Mohammad. In Proceedings of the 11th Edition of the Language Resources and Evaluation Conference (LREC-2018), May 2018, Miyazaki, Japan.

If you use any of the NRC valence, arousal, and dominance dictionaries, cite the following paper:

Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words. Saif M. Mohammad. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia, July 2018.

SocialSent

If you use any of the SocialSent lexicons (historical or subreddits), cite the following paper:

William L. Hamilton, Kevin Clark, Jure Leskovec, and Dan Jurafsky. Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora. Proceedings of EMNLP, 2016