Abstract: Using data from social media can be of great value to businesses and other interested parties. However, harvesting data from social media networks such as Twitter, cleaning the data, and analyzing the data can be difficult. In this article, a step-by-step approach to obtaining data via the Twitter application program interface (API) is described. Cleaning of the data and basic sentiment analysis are also described.
Keywords: analytics, Classification, Data Cleaning, social media, Text Mining, big data
Download this article: ISEDJ - V15 N3 Page 42.pdf
Recommended Citation: Hill, S., Scott, R. A. (2017). Developing an Approach to Harvesting, Cleaning, and Analyzing Data from Twitter Using R. Information Systems Education Journal, 15(3) pp 42-54. http://isedj.org/2017-15/ ISSN: 1545-679X. (A preliminary version appears in The Proceedings of EDSIG 2016)