Students’ Reactions to Revolution Analytics (R): Text Mining of Twitter Data With R Packages Twitter and Wordcloud

Loreen Powell; Hayden Wimmer; Kenneth D. Hall

Students’ Reactions to Revolution Analytics (R): Text Mining of Twitter Data With R Packages Twitter and Wordcloud

Loreen Powell, Hayden Wimmer, Kenneth D. Hall

Information Technology

Bloomsburg University

Research output: Contribution to conference › Presentation

Abstract

 Technology provides the vehicle to gather data and analyze the data into information.  Currently, Revolution Analytics (R) is used worldwide as a dynamic statistical software which allows seamless integration many social media data sets including, but not limited to Google, Facebook, LinkedIn, and Twitter.   
 
 Twitter and word clouds were chosen for this presentation because access to archived data sets and programing code were easily accessible online.  The archived twitteR datasets were mined for specific tweets at certain events, locations, times, and days.  The output was programmed to be displayed as word clouds.  This presentation will explain the lecture, tools used, programming code, archived datasets and most importantly student’s reactions to the possibilities and impact our usage social media technologies.

Original language	American English
State	Published - Jun 19 2014
Event	Business and Applied Sciences Academy of North America International Conference (BAASANA) - Mahwah, NJ Duration: Jun 19 2014 → …

Conference

Conference	Business and Applied Sciences Academy of North America International Conference (BAASANA)
Period	06/19/14 → …

Keywords

Revolution Analytics (R)
data analysis
data gathering
statistical software
twitter
word clouds

DC Disciplines

Engineering
Computer Sciences

Cite this

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title = "Students{\textquoteright} Reactions to Revolution Analytics (R): Text Mining of Twitter Data With R Packages Twitter and Wordcloud",

abstract = " Technology provides the vehicle to gather data and analyze the data into information. Currently, Revolution Analytics (R) is used worldwide as a dynamic statistical software which allows seamless integration many social media data sets including, but not limited to Google, Facebook, LinkedIn, and Twitter. Twitter and word clouds were chosen for this presentation because access to archived data sets and programing code were easily accessible online. The archived twitteR datasets were mined for specific tweets at certain events, locations, times, and days. The output was programmed to be displayed as word clouds. This presentation will explain the lecture, tools used, programming code, archived datasets and most importantly student{\textquoteright}s reactions to the possibilities and impact our usage social media technologies.",

keywords = "Revolution Analytics (R), data analysis, data gathering, statistical software, twitter, word clouds",

author = "Loreen Powell and Hayden Wimmer and Hall, {Kenneth D.}",

year = "2014",

month = jun,

day = "19",

language = "American English",

note = "Business and Applied Sciences Academy of North America International Conference (BAASANA) ; Conference date: 19-06-2014",

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T1 - Students’ Reactions to Revolution Analytics (R): Text Mining of Twitter Data With R Packages Twitter and Wordcloud

AU - Powell, Loreen

AU - Wimmer, Hayden

AU - Hall, Kenneth D.

PY - 2014/6/19

Y1 - 2014/6/19

N2 - Technology provides the vehicle to gather data and analyze the data into information. Currently, Revolution Analytics (R) is used worldwide as a dynamic statistical software which allows seamless integration many social media data sets including, but not limited to Google, Facebook, LinkedIn, and Twitter. Twitter and word clouds were chosen for this presentation because access to archived data sets and programing code were easily accessible online. The archived twitteR datasets were mined for specific tweets at certain events, locations, times, and days. The output was programmed to be displayed as word clouds. This presentation will explain the lecture, tools used, programming code, archived datasets and most importantly student’s reactions to the possibilities and impact our usage social media technologies.

AB - Technology provides the vehicle to gather data and analyze the data into information. Currently, Revolution Analytics (R) is used worldwide as a dynamic statistical software which allows seamless integration many social media data sets including, but not limited to Google, Facebook, LinkedIn, and Twitter. Twitter and word clouds were chosen for this presentation because access to archived data sets and programing code were easily accessible online. The archived twitteR datasets were mined for specific tweets at certain events, locations, times, and days. The output was programmed to be displayed as word clouds. This presentation will explain the lecture, tools used, programming code, archived datasets and most importantly student’s reactions to the possibilities and impact our usage social media technologies.

KW - Revolution Analytics (R)

KW - data analysis

KW - data gathering

KW - statistical software

KW - twitter

KW - word clouds

UR - http://berkeleycollege.edu/press_release_images/IB_AA_AMaharaj_061915.pdf

M3 - Presentation

T2 - Business and Applied Sciences Academy of North America International Conference (BAASANA)

Y2 - 19 June 2014

ER -

Students’ Reactions to Revolution Analytics (R): Text Mining of Twitter Data With R Packages Twitter and Wordcloud

Abstract

Conference

Keywords

DC Disciplines

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