Sunday, March 27, 2016

Sentiment analysis of e-Commerce firms in India: March 2016

Dear readers,

UPDATE: Download complete report here.

Ranking of following 6 e-commerce firms in India, based on the consumer sentiment derived by analysis of tweets at their Twitter handles, has been done:

Amazon ~ @amazonIN,
eBay ~ @ebayindia,
Flipkart~ @Flipkart,
Jabong ~ @JabongIndia,
Myntra ~ @myntra &
Snapdeal ~ @snapdeal

10,000 tweets from each handles have been solicited between 01/03/2016 and 27/03/2016 and parsed.
Analysis results are as under:


Sl. No.
e-Commerce firm
Total tweets
very.pos.
count
very.neg.
count
Total
Score
1
Amazon
4672
262
195
457
57
2
eBay
10000
2305
71
2376
97
3
Flipkart
10000
1040
230
1270
82
4
Jabong
2180
204
30
234
87
5
Myntra
4180
580
107
687
84
6
Snapdeal
2715
425
137
562
76




New rankings are:
1         eBay
2         Jabong
3         Myntra
4         Flipkart
5        Snapdeal
6         Amazon

                                                         (click on the image to enlarge)




(click on the image to enlarge)




Detailed data dumps are available on request.
Please send your requests in comments below.
Feedback is solicited.

Best,
N. Singh

Wednesday, March 2, 2016

Sentiment analysis of airlines [Feb 2016]


Update: A very useful collection of traveller's reviews: https://www.sleepinginairports.net


Hello readers,

and the drone of a jet engine slowly drags me into slumber
The beautiful wisps of cotton float by below.

The look from 30,000 feet 


We had a look into the performance of airlines in social media and conducted a twitter sentiment survey. 1000 tweets were requested and parsed from the official hashtags of 3 prominent airlines in the US.



The survey results are as under:



Airlines
very.pos.
count
very.neg.
count
very.tot
Score
American
127
63
190
67
Delta
172
72
244
70
Ryan Airlines
38
46
84
45



(click on the image below to enlarge)




Detailed report available here: DOWNLOAD


Best,
N. Singh

Just an update post

Hello readers, Hope you are doing well. September was spent cleaning and loading a lot of cloud files to local backup. October will be spent...