In cnaumzik/caffeR: Interface for the deep learning framework 'caffe'

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)

caffeR: a wrapper to 'caffe'

SentimentAnalysis performs a sentiment analysis of textual contents in R. This implementation utilizes various existing dictionaries, such as General Inquirer, Harvard IV or Loughran-McDonald. Furthermore, it can also create customized dictionaries. The latter uses LASSO regularization as a statistical approach to select relevant terms based on an exogeneous response variable.

Overview

The most important functions in SentimentAnalysis are:

• ...

Installation

Using the devtools package, you can easily install the latest development version of SentimentAnalysis with

install.packages("devtools")

# Option 1: download and install latest version from ‘GitHub’
devtools::install_github("sfeuerriegel/SentimentAnalysis")

# Option 2: install directly from bundled archive
# devtoos::install_local("SentimentAnalysis_1.0.0.tar.gz")

Notes:

• In the case of option 2, you have to specify the path either to the directory of SentimentAnalysis or to the bundled archive SentimentAnalysis_1.0.0.tar.gz

• A CRAN version has not yet been released.

cnaumzik/caffeR documentation built on May 13, 2019, 8:44 p.m.