Twitter Hashtag #appleindia Text Mining using R
- 1. Social Media and Sentiment Analysis of Tweets about Apple India Hashtag #appleindia By Nikhil Gadkar +91 8882135642 nikhilgadkar@icloud.com 1
- 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. 3
- 4. Common Words in Tweets 4
- 5. Word Cloud The size of the word is proportional to its frequency 5
- 6. Word Cluster This is just a grouping of terms that appear together 6
- 7. Word Correlation Please note, some terms are incomplete and it is difficult to guess those. (Punjabkesari, the news paper has tweeted frequently) 7
- 8. Network of Frequent Terms This shows how the frequent terms are connected. Here, also, size of the word is proportional to its frequency 8
- 9. Cohesive Blocks of Frequent Terms 9
- 11. Appendix 11
- 12. AppleIndiaForum Tweets 12 Microsoft Excel Comma Separated Values Fi