Collective Intelligence Based Opinion Mining of Social Data

Authors

  • Hemavati  Assistant Professor, Department of ISE, SIT, Tumakuru, Karnataka, India
  • Lakshmi K V  Department of ISE, SIT, Tumakuru, Karnataka, India
  • Punyashree K  Department of ISE, SIT, Tumakuru, Karnataka, India
  • Sindhu Priya M A  Department of ISE, SIT, Tumakuru, Karnataka, India

Keywords:

Peltier Device, Thermoelectric Generator, Microcontroller (ATMEGA16), Temperature Sensor (LM35), Bluetooth Module

Abstract

The most critical factors in today’s world in formulating our views and influencing the success of a brand, product or service are opinions and reviews that are accessible to us. With the advent and growth of social media, stakeholders often express their opinions on popular social media, namely twitter where the data is extremely informative and it presents a challenge for analysis because of its immense volume, disorganized nature, difficulty in verifying the data authenticity and data security. In this system, the tweets are fetched from Twitter via Twitter API which uses open standard for authorization OAuth which also provides security for the users. This massive volume of data fetched are then stored into Hadoop Distributed File System (HDFS). The system can also take the input from local Excel file for processing. Efficient pre-processing techniques are applied to get sentiment for the user’s opinion. The results are depicted in the form of graphs.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-06-30

Issue

Volume 3, Issue 5, May-June-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Hemavati, Lakshmi K V, Punyashree K, Sindhu Priya M A, " Collective Intelligence Based Opinion Mining of Social Data, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.556-561, May-June-2018.