In-depth analysis of Twitter activity and sentiment, with R

Astronomer and budding data scientist Julia Silge has been using R for less than a year, but based on the posts using R on her blog has already become very proficient at using R to analyze some interesting data sets. She has posted detailed analyses of water consumption data and health care indicators from the Utah Open Data Catalog, religious affiliation data from the Association of Statisticians of American Religious Bodies, and demographic data from the American Community Survey (that's the same dataset we mentioned on Monday). In a two-part series, Julia analyzed another interesting dataset: her own archive of...

from R-bloggers http://ift.tt/1PTKQmE
via IFTTT

Sentiment analysis with machine learning in R

Machine learning makes sentiment analysis more convenient. This post would introduce how to do sentiment analysis with machine learning using R. In the landscape of R, the sentiment R package and the more general text mining package have been well developed by Timothy P. Jurka. You can check out the sentiment package and the fantastic […]

from R-bloggers http://ift.tt/1SHdkW5
via IFTTT