Reply to Garcia et al.: Common mistakes in measuring frequency-dependent word characteristics

Proceedings of the National Academy of Sciences of the United States of America

Volumn 112, Issue 23, 2015, Pages E2984-E2985

  Dodds, Peter Sheridan ^a,b   Clark, Eric M ^a,b   Desu, Suma ^c   Frank, Morgan R ^c   Reagan, Andrew J ^a,b   Williams, Jake Ryland ^a,b   Mitchell, Lewis ^d   Harris, Kameron Decker ^e   Kloumann, Isabel M ^f   Bagrow, James P ^a,b   Megerdoomian, Karine ^g   McMahon, Matthew T ^g   Tivnan, Brian F ^b,g   Danforth, Christopher M ^a,b  

^a Computational Story Lab Vermont Advanced Computing Core Department of Mathematics and Statistics ^*  (United States)

^b Vermont Complex Systems Center University of Vermont ^*  (United States)

^c Massachusetts Institute of Technology   (United States)

^d UNIVERSITY OF ADELAIDE   (Australia)

^e UNIVERSITY OF WASHINGTON   (United States)

^f Center for Applied Mathematics Cornell University ^*  (United States)

^g MITRE CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ART; EMOTION; HAPPINESS; LETTER; LINGUISTICS; PRIORITY JOURNAL; SPEECH AND LANGUAGE ASSESSMENT; HUMAN; LANGUAGE; STATISTICAL BIAS;

BIAS (EPIDEMIOLOGY); EMOTIONS; HUMANS; LANGUAGE;

EID: 84931259952     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1505647112     Document Type: Letter

References (6)

1. Garcia D, Garas A, Schweitzer F (2015) The language-dependent relationship between word happiness and frequency. Proc Natl Acad Sci USA 112:E2983.
2. Pennebaker JW, Booth RJ, Francis ME (2007) Linguistic Inquiry and Word Count: LIWC 2007. Available at homepage.psy.utexas.edu/HomePage/Faculty/Pennebaker/Reprints/LIWC2007-OperatorManual.pdf. Accessed May 15, 2014.
3. Dodds PS, et al. (2015) Human language reveals a universal positivity bias. Proc Natl Acad Sci USA 112(8):2389-2394.
4. Warriner AB, Kuperman V, Brysbaert M (2013) Norms of valence, arousal, and dominance for 13,915 English lemmas. Behav Res Methods 45(4):1191-1207.
5. Bradley MM, Lang PJ (1999) Affective Norms for English Words (anew): Stimuli, Instruction Manual and Affective Ratings. Technical report c-1 (Univ of Florida, Gainesville, FL).
6. Williams JR, Bagrow JP, Danforth CM, Dodds PS (2015) Text mixing shapes the anatomy of rank-frequency distributions: A modern Zipfian mechanics for natural language. arXiv:1409.3870.