Wrong confirmation ID
  • Email
  • Favorite
  • Download
  • Embed
  • Private Content

R by example: mining Twitter for consumer attitudes towards airlines

by Jeffrey Breen on Jul 04, 2011

  • 32,903 views

A quick tutorial for the Boston Predictive Analytics MeetUp to demonstrate the use of R in the context of text mining Twitter. We implement a very crude algorithm for sentiment analysis but still get a...

A quick tutorial for the Boston Predictive Analytics MeetUp to demonstrate the use of R in the context of text mining Twitter. We implement a very crude algorithm for sentiment analysis but still get a plausible result.

Accessibility

Categories

Tags

text mining ggplot2 r airlines tm delta air lines acsi united airlines doby plyr consumer satisfaction jetblue airways rstats twitter sentiment analysis example r text analys statistics customer service r twitter dataist airline costumer care competitors stats data mining plan social media sentiment nlp twitter big data crm

More...

Upload Details

Uploaded via SlideShare as Apple Keynote

Usage Rights

© All Rights Reserved

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate. If needed, use the feedback form to let us know more details.

Cancel

48 Embeds 19,598

http://jeffreybreen.wordpress.com 14909
http://hkotadia.com 1792
http://www.r-bloggers.com 785
http://smartdatacollective.com 465
http://socialenterprisetoday.com 403
http://www.claudepenland.com 326
http://www.customerthink.com 202
url_unknown 113
http://www.scoop.it 112
http://www.199it.com 85
http://humancapitalleague.com 61
http://www.onlinemarketing-trends.com 52
http://www.ctocio.com 46
http://www.slideshare.net 41
http://translate.googleusercontent.com 41
http://paper.li 34
http://blog.contentmanagementconnection.com 19
http://feeds.feedburner.com 17
http://13786347.tumblr.com 13
http://contentmanagementconnection.com 12
http://twitter.com 11
http://web.lt.office.3sheep.co.uk 7
http://www.twylah.com 6
http://webcache.googleusercontent.com 6
http://r5x64o11-px001 5
http://www.linkedin.com 3
http://localhost 3
https://twitter.com 3
http://207.46.192.232 2
http://honyaku.yahoofs.jp 2
http://quantboxx.com 2
http://tweets.walteradamson.com 2
http://mahrin.tumblr.com 2
http://wordpress.com 2
http://wiki-leaks.appspot.com 1
http://www.hanrss.com 1
http://safe.tumblr.com 1
http://74.6.117.48 1
http://sandbox.customerthink.com 1
http://r5x64o11-px054.pd.local 1
http://www.bestserviceone.com 1
http://www.irs.gov 1
http://jeffreybreen.wordpress.com.sixxs.org 1
http://a0.twimg.com 1
http://192.27.95.86:15871 1
http://zutaten.nl 1
http://youtubecaption.appspot.com 1
http://www.netvibes.com 1

More...

Statistics

Favorites
39
Downloads
661
Comments
3
Embed Views
19,598
Views on SlideShare
13,305
Total Views
32,903

13 of 3 previous next Post a comment

Post Comment
Edit your comment Cancel

R by example: mining Twitter for consumer attitudes towards airlines — Presentation Transcript