labMT: Language Assessment by Mechanical Turk (labMT) Sentiment...

In trinker/qdap2: Bridging the gap between qualitative data and quantitative analysis

Description

A dataset containing words, average happiness score (polarity), standard deviations, and rankings.

Format

A data frame with 10222 rows and 8 variables

Details

• word. The word.

• happiness_rank. Happiness ranking of words based on average happiness scores.

• happiness_average. Average happiness score.

• happiness_standard_deviation. Standard deviations of the happiness scores.

• twitter_rank. Twitter ranking of the word.

• google_rank. Google ranking of the word.

• nyt_rank. New York Times ranking of the word.

• lyrics_rank. lyrics ranking of the word.

References

Dodds, P.S., Harris, K.D., Kloumann, I.M., Bliss, C.A., & Danforth, C.M. (2011) Temporal patterns of happiness and information in a global social network: Hedonometrics and twitter. PLoS ONE 6(12): e26752. doi:10.1371/journal.pone.0026752

http://www.plosone.org/article/fetchSingleRepresentation.action?uri=info:doi/10.1371/journal.pone.0026752.s001

trinker/qdap2 documentation built on May 31, 2019, 9:47 p.m.