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 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>
 <dt>id</dt>
<dd>ID of this status.</dd> <dt>hashtags</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_at</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>
 <dt>id</dt>
<dd>ID of this status.</dd>

 <dt>hashtags</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_at</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