tweetWrangleR: tweetWrangleR.
In sefabey/tweetWrangleR: Wrangle Tweets Collected from Streaming API
Description
As the name suggests, tweetWrangleR package wrangles Twitter data. Twitter data collected from Steaming API in .jsonl file format can be parsed and flattened into a 2D tibble using tweetWrangleR. tweetWrangleR 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.
sefabey/tweetWrangleR documentation built on May 4, 2019, 4:17 a.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
As the name suggests, tweetWrangleR package wrangles Twitter data. Twitter data collected from Steaming API in .jsonl file format can be parsed and flattened into a 2D tibble using tweetWrangleR. tweetWrangleR 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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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