CRAN/E | SentimentAnalysis

SentimentAnalysis

Dictionary-Based Sentiment Analysis

Installation

About

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

github.com/sfeuerriegel/SentimentAnalysis
Bug report File report

Key Metrics

Version 1.3-5
R ≥ 2.10
Published 2023-08-23 245 days ago
Needs compilation? no
License MIT
License File
CRAN checks SentimentAnalysis results

Downloads

Yesterday 76 +46%
Last 7 days 420 -25%
Last 30 days 1.924 +73%
Last 90 days 4.341 -17%
Last 365 days 16.207 -5%

Maintainer

Maintainer

Nicolas Proellochs

nicolas@nproellochs.com

Authors

Nicolas Proellochs

aut / cre

Stefan Feuerriegel

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

SentimentAnalysis Vignette

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

SentimentAnalysis archive

Depends

R ≥ 2.10

Imports

tm ≥ 0.6
qdapDictionaries
ngramrr ≥ 0.1
moments
stringdist
glmnet
spikeslab ≥ 1.1
ggplot2

Suggests

testthat
knitr
rmarkdown
SnowballC
XML
mgcv

Reverse Imports

disclosuR