get_dictionary: Check for sentiment dictionaries

In CDU-data-science-team/experienceAnalysis: Helper Functions for Text Mining

Description

On a server, the sentiment dictionaries have to be manually uploaded. On a local machine they can be loaded using {tidytext}. Check to see if they are already loaded (by a previous function run), if they are on disk (which would indicate the code is on a server), or just load using {tidytext}.

Usage

get_dictionary(dictionary)

Arguments

dictionary

A string. One of "afinn" (Nielsen, 2013), "nrc" (Mohammad & Turney, 2013) or "bing" (Hu & Liu, 2004), indicating the dictionary to be loaded.

Value

A data frame with two columns: the word and its sentiment according to the requested sentiment dictionary.

References

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, USA, Aug 22-25, 2004.

Mohammad S.M. & Turney P.D. (2013). Crowdsourcing a Word–Emotion Association Lexicon. Computational Intelligence, 29(3):436-465.

Nielsen F.A. (2013). A new ANEW: Evaluation of a word list for sentiment analysis in microblogs. Proceedings of the ESWC2011 Workshop on 'Making Sense of Microposts': Big things come in small packages 718 in CEUR Workshop Proceedings 93-98. https://arxiv.org/abs/1103.2903.

Silge J. & Robinson D. (2017). Text Mining with R: A Tidy Approach. Sebastopol, CA: O’Reilly Media. ISBN 978-1-491-98165-8.

Examples

    get_dictionary("afinn")
    get_dictionary("nrc")
    get_dictionary("bing")

CDU-data-science-team/experienceAnalysis documentation built on Dec. 17, 2021, 12:53 p.m.