sefabey/tweetWrangleR: Wrangle Tweets Collected from Streaming API

This package wrangles Twitter data. Twitter data collected from Steaming API in .jsonl file format can be parsed and flattened into a 2D tibble. This package also enables web scaping from Twitter. This is expecially useful to collect historical data because Twitter's search API only allows to search fro tweets sent in the last 7-9 days. The package is constantly under development and suggestions, pull and feature requests are encouraged. Features that will be added to the package in the future are: * Clean tweet text * Derive topic models * Prepare RT data for social network analysis * Calculate RT counts * Calculate RT lags * Derive user gender based on names * Calculate sentiment scores * Text classification using externally built classifiers.

install.packages("remotes")
remotes::install_github("sefabey/tweetWrangleR")