In JCRascal/speechiespeech: What the Package Does (One Line, Title Case)

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

speechiespeech

The goal of speechiespeech is to allow a user to easily parse text from public websites with a variety of source types and perform basic text mining and analysis functions including tokenizing a text file, performing and visualizing sentiment analysis, and analyzing relative frequency of words across a set of source documents.

In its current version, speechiespeech supports the parsing of text from html pages provided input of an appropriate css selector. Development is required to make css selection more user friendly.

Current development efforts focus on parsing of text from pdf source files, with publicly accessible Supreme Court slip opinion files providing prototype data sources.

Installation

You can install the development version of speechiespeech from GitHub with:

devtools::install_github("speechiespeech")

Example

This is a basic example which shows you how to solve a common problem:

library(speechiespeech)
## basic example code

JCRascal/speechiespeech documentation built on Nov. 27, 2020, 5:18 p.m.