Hello readers,
The sentiment analysis algorithm reads the latest 1000 tweets posted on the official twitter handles of the following e-retailers and then analyses the consumer mood about them:
1: Amazon (@amazonIn)
2: eBay (@eBay)
3: Flipkart (@Flipkart)
4: Jabong India (@JabongIndia)
5: Myntra (@myntra)
6: Snapdeal (@snapdeal)
Approach used: http://www.inside-r.org/howto/mining-twitter-airline-consumer-sentiment
R packages used: twitteR and associated dependencies
Here is the result table:
Sl. No.
|
very.pos.count
|
very.neg.count
|
very.tot
|
Score
|
||
1
|
Amazon
|
81
|
45
|
126
|
64
|
|
2
|
eBay
|
89
|
13
|
102
|
87
|
|
3
|
Flipkart
|
69
|
13
|
82
|
84
|
|
4
|
Jabong India
|
109
|
9
|
118
|
92
|
|
5
|
Myntra
|
100
|
81
|
181
|
55
|
|
6
|
Snapdeal
|
66
|
83
|
149
|
44
|
|
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