In sebastian-fox/twitterfeatures: Simple Feature Engineering Functions for Twitter Data

knitr::opts_chunk$set(
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twitterfeatures

The goal of twitterfeatures is to make it easy to engineer simple features out of Twitter Content.

Installation

You can install the development version from GitHub with:

# install.packages("remotes")
remotes::install_github("sebastian-fox/twitterfeatures")

Example

This is a basic example. It shows how to create sentiment features from the Tweets using 3 different sentiment dictionaries.

library(twitterfeatures)
tweet <- data.frame(status_id = c(1234, 5678),
                    text = c("Everything is great, happy and fantastic",
                             "Bored, sad, tired, grumpy"),
                    stringsAsFactors = FALSE)

feature_sentiment(tweet, status_id, text)

sebastian-fox/twitterfeatures documentation built on Nov. 5, 2019, 8:47 a.m.