Text Mining and Sentiment Analysis of Tweets on the Hashtag #appleindia

1. Social Media and Sentiment Analysis
of Tweets about Apple India
Hashtag #appleindia
By
Nikhil Gadkar
+91 8882135642
nikhilgadkar@icloud.com
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2. Index
2
Introduction and Inference Slide3
Common Words in Tweets Slide4
Word Cloud Slide5
Word Cluster Slide6
Word Correlation Slide7
Network of Frequent Terms Slide8
Cohesive Blocks of Frequent Terms Slide9
Sentiment Index Slide10
Appendix – Tweets raw data Slide12

3. Introduction
Data : 799 tweets from the twitter that contain the keywords Apple and India.
The date range is 6 April 2016 to 16 April 2016. (All I could download)
Objective : To understand what Apple Users in India are talking about and
what is the sentiment.
Inference : The sentiment is largely neutral.
(Please note I have removed the word “Apple” and “India” in my analysis because it would distort
the analysis)
The main topic of discussion is iPhone and its corporate lease plan.
I was not aware that there is a corporate lease plan, in spite of the fact that
the company I work for, IBM, has a partnership with Apple.
2 years, with IBM, never seen a single email on any plan.
Are there any corporate lease plans for the PC’s and laptops?
The most interesting slide is No:7, which shows the words with maximum
correlation with iPhone.
Please view the subsequent slides for more details.
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4. Common Words in Tweets
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5. Word Cloud
The size of the word is proportional to its frequency
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6. Word Cluster
This is just a grouping of terms that appear together
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7. Word Correlation
Please note, some terms are incomplete and it is difficult to guess those.
(Punjabkesari, the news paper has tweeted frequently)
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8. Network of Frequent Terms
This shows how the frequent terms are connected. Here, also, size of the
word is proportional to its frequency
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9. Cohesive Blocks of Frequent Terms
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10. Sentiment Index
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11. Appendix
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12. AppleIndiaForum Tweets
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Microsoft Excel
Comma Separated Values Fi