Sentiment Analysis on Real Time Blog using R |
Author(s): |
| Priya Jaiswal , RGCER; Gayatri Hambarde, RGCER; Prajakta Palpankar, RGCER; Shital Meshram, RGCER |
Keywords: |
| Sentiment Analysis, Real time analysis, Blogs, R Studio, Keyword spotting |
Abstract |
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Every time you release a product or service and you want to receive feedback from users, so you know what they like and what they don’t. Sentiment Analysis can help you to create a simple application in R and Shiny to perform Twitter Sentiment Analysis in real-time. Real time analysis clears the concept of public by blogs. Here we are going to use R language in which R console window is needed for coding so R studio is used we are going to take any type of live data where data is based on live analysis and find the views or comments (which is called as blogs ) of public regarding it. Based on that we are going to make negative and positive analysis on that product and make a graph using it. This is nothing but the sentiment analysis on blogs. |
Other Details |
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Paper ID: IJSRDV4I20468 Published in: Volume : 4, Issue : 2 Publication Date: 01/05/2016 Page(s): 348-352 |
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