Update: A very useful collection of traveller's reviews: https://www.sleepinginairports.net
Thanks.
Hello readers,
This holiday season as you gear up for travel and long airport queues, the following twitter sentiment analysis will give you an inkling into what your fellow passengers have been writing on twitter handles of popular airlines:
Airlines | very.pos.count | very.neg.count | very.tot | Twitter sentiment score | |
Delta | 1240 | 618 | 1858 | 67 | |
Ryan Airlines | 217 | 231 | 448 | 48 | |
American | 632 | 889 | 1521 | 42 |
Positive and Negative word lists: http://www.cs.uic.edu/~liub/FBS/opinion-lexicon-English.rar
R packages used: twitteR and dependencies.
Approach followed: http://www.inside-r.org/howto/mining-twitter-airline-consumer-sentiment
Please post the twitter handles which you need me to analyse.
Queries are welcome.
Thanks.
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