Sentiment analysis of e-commerce firms in India: August 2016

Hello readers,

After a break of 2 months, the sentiment analysis series is back.
I hope you all must be doing very good.
Happy Ganesh Puja to my readers!

Table of sentiment analysis scores: [Note that Snapdeal's twitter handle did not respond to our request for tweets]

Sl. No.	Names	Total tweets	Positive tweets	Negative tweet	Sum	score
4	Jabong	8749	754	64	818	92
1	Amazon	6090	944	190	1134	83
2	eBay	1368	111	56	167	66
5	Myntra	1045	64	71	135	47
3	Flipkart	6986	383	723	1106	35

Total tweets: Total number of tweets returned from the official twitter handles
Positive tweets: Number of tweets that are either marked as positive or extremely positive
Negative tweets: Number of tweets that are either marked as negative or extremely negative
Sum: Sum of positive and negative tweets
Score: Positive tweets/ Total tweets

Chart of tweets categorised as positive to negative and the trend chart are as under (trend chart falls to zero for the past two months as I was not ranking the firms and has nothing to do with anything else):

(click to enlarge)

(click to enlarge)

References:

1. twitteR package for R

2. Original twitter handles of the e-commerce firms (Snapdeal's twitter handle did not respond to our request for tweets.)

3. Twitter API

4. R Programming Language