Feedback Analysis of Events using Social IOT

August 2017
Vol-3, Issue-4
Paper ID: 6382
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Science and Engineering
Keywords
Social IoT Sentiment analysis Text mining Databases Twitter Big Data
Abstract
Lot of events happens every day across the globe. Most of the events we receive are from social media. Few widely used social media are Twitter, Face book, LinkedIn, Google etc. People share the information about the events in their own way. Most of the people who attend events share their thoughts and feedback through social media through which they can be connected to the world. One of the most powerful social media where lots of people give their feedback on any event is “Twitter”. Here people express their thoughts, their ideas, feelings, parties and events that they attend etc. The tweets of the twitter are usually 140 characters long. But lot can be expressed within a given character length. These tweets are important for any person to judge and analyze the success of event. The project aims at analyzing those tweets about events of location, determines the sentiments associated with it and visualize the polarity of events based on the tweets extracted.

Author Information

# Name Institute / Affiliation
1 Nagashree B PES University Bengaluru
2 Himabindu U JVIT, Bidadi
3 Ashwini C L Technologica Solutions

How to Cite

Use the following formats to cite this article in your research.

APA Style
B, Nagashree, U, Himabindu, & L, Ashwini C (2017). Feedback Analysis of Events using Social IOT. International Journal of Advance Research and Innovative Ideas In Education, 3(4), 2847-2851.
MLA Style
B, Nagashree, et al. "Feedback Analysis of Events using Social IOT." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 4, 2017, pp. 2847-2851.
IEEE Style
Nagashree B, Himabindu U, and Ashwini C L, "Feedback Analysis of Events using Social IOT," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 4, pp. 2847-2851, 2017.
Vancouver Style
B Nagashree, U Himabindu, L Ashwini C. Feedback Analysis of Events using Social IOT. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(4):2847-2851.
Harvard Style
B, Nagashree, U, Himabindu, & L, Ashwini C (2017) 'Feedback Analysis of Events using Social IOT', International Journal of Advance Research and Innovative Ideas In Education, 3(4), pp. 2847-2851.
Chicago Style
B, Nagashree, Himabindu U, and Ashwini C L. "Feedback Analysis of Events using Social IOT." International Journal of Advance Research and Innovative Ideas In Education 3, no. 4 (2017): 2847-2851.
Turabian Style
B, Nagashree, Himabindu U, and Ashwini C L. "Feedback Analysis of Events using Social IOT." International Journal of Advance Research and Innovative Ideas In Education 3, no. 4 (2017): 2847-2851.

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