raw_tweets

Dataset from a [Twitter US Airline Sentiment](https://www.kaggle.com/crowdflower/twitter-airline-sentiment) Kaggle competition, from December 2017. The dataset contains 14,487 tweets from 6 different hashtags (2,604 x #American, 2,220 x #Delta, 2,420 x #Southwest, 3,822 x #United, 2,913 x #US Airways, 504 x #Virgin America).

datasets

This analytic is an in initial foray into sentiment analysis.  This analytic will allow a user to access the Twitter API (once they create their own developer account), ingest tweets of their interest, clean / tidy data, perform topic modeling if interested, compute sentiment scores utilizing the x  bing Lexicon, and output visualizations.

Evan Munson

saotd

Sentiment Analysis of Twitter Data

Christopher Smith

Bradley Boehmke

Jason Freels

raw_tweets function

A <code>tribble</code> with 14,483 rows and 6 variables<dl class="dl-horizontal">
 <dt>id</dt><dd>ID of this status.</dd>
 <dt>hashtag</dt><dd>Hashtag that the individual tweet was acquired from.</dd>
 <dt>screenName</dt><dd>Screen name of the user who posted this status.</dd>
 <dt>text</dt><dd>The text of the status.</dd>
 <dt>created</dt><dd>When this status was created.</dd>
 <dt>key</dt><dd>Unique key based on the tweets originators user id and the created date time group.</dd>
 </dl>

Format

Twitter Data Set — raw_tweets

A <code>tribble</code> with 14,483 rows and 6 variables<dl class='dl-horizontal'>
 <dt>id</dt><dd>ID of this status.</dd>
 <dt>hashtag</dt><dd>Hashtag that the individual tweet was acquired from.</dd>
 <dt>screenName</dt><dd>Screen name of the user who posted this status.</dd>
 <dt>text</dt><dd>The text of the status.</dd>
 <dt>created</dt><dd>When this status was created.</dd>
 <dt>key</dt><dd>Unique key based on the tweets originators user id and the created date time group.</dd>
 </dl>

raw_tweets: Twitter Data Set

Description

Usage

Arguments

Format