README.md

In ViennaR/SentimentAnalysis: Sentiment Analysis based on Word Counts

SentimentAnalyis ===================

SentimentAnalyis calculates the sentiment from (tm text corpora based on simple word counts. The package already includes sentiment dictionaries from various sources including e.g. Harvard-IV, Loughran-McDonald and supports user specified ones.

THIS PACKAGE IS UNDER ACTIVE DEVELOPMENT AND NOT READY FOR TESTING - HOWEVER SUGGESTIONS ARE HIGHLY WELCOME !!!

Install

Using the devtools package you can easily install the latest development version of tm.plugin.sentiment from github with

library(devtools)
install_github("mannau/tm.plugin.sentiment")

Usage

The following lines show the basic functionality calculating the sentiment for the Apple (AAPL) stock:

library(tm.plugin.sentiment)

# retrieve corpus
require(tm.plugin.webmining)
corp = WebCorpus(GoogleFinanceSource("AAPL"))

# score corpus
corp <- score(corp)
sentixts <- metaXTS(corp)

# chart sentiment scores
chartSentiment(sentixts)

License

tm.plugin.sentiment is released under the GNU General Public License Version 3

ViennaR/SentimentAnalysis documentation built on May 9, 2019, 9:56 p.m.