Aspect Based Sentiment Summarization using Data Mining

September 2016
Vol-2, Issue-5
Paper ID: 3086
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Fluctuation Psychology behavior tracking assigned tasks
Abstract
It is hard to analyze the mentality of developer as it requires their presence, but there are some chances that our analysis may fail. Developers may not work,may not give their best in software development. In our proposed system provision will be there, to create new tasks and sub modules.Only admin facility which will have rights to create any new tasks.There will be various modules allocated to the concern developer so that he/she can carry the work assigned and will develop the modules.Along with the module creation they also mention the name of the files which needs to be there under specific modules. Addition to this, admin also inputs the time duration to complete the coding or programming for given tasks which will check whether developer is capable enough or not. This data is used for processing and to analyze the developer’s psychology.System automatically tracks the developers as he or she is taking how much time to completely end up the one working file or others.System also tracks the fluctuation in files from the developer’s side and how frequent the fluctuation is. These data helps us to know very much about the developer’s mental state as weather they are comfortable in the environment they are working i.e. domain of the developer whether developer is interested in the assigned job can be tracked. This proposed system will be useful to identify the behavior and area of interest, so that developer will easily cope with the assigned job.

Author Information

# Name Institute / Affiliation
1 Avhad Deepak Vishnu SND College Of Engineering & Research Center Yeola, Nashik, Maharashtra
2 Shinde Shalini Prabhakar SND College Of Engineering & Research Center Yeola, Nashik, Maharashtra
3 Mahale Akash Satish SND College Of Engineering & Research Center Yeola, Nashik, Maharashtra
4 Shimpi Mitesh Dilip SND College Of Engineering & Research Center Yeola, Nashik, Maharashtra
5 Kumbharde Mayur V. SND College Of Engineering & Research Center Yeola, Nashik, Maharashtra

How to Cite

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

APA Style
Vishnu, Avhad Deepak, Prabhakar, Shinde Shalini, Satish, Mahale Akash, Dilip, Shimpi Mitesh, & V., Kumbharde Mayur (2016). Aspect Based Sentiment Summarization using Data Mining. International Journal of Advance Research and Innovative Ideas In Education, 2(5), 185-189.
MLA Style
Vishnu, Avhad Deepak, et al. "Aspect Based Sentiment Summarization using Data Mining." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 5, 2016, pp. 185-189.
IEEE Style
Avhad Deepak Vishnu, Shinde Shalini Prabhakar, Mahale Akash Satish, Shimpi Mitesh Dilip, and Kumbharde Mayur V., "Aspect Based Sentiment Summarization using Data Mining," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 5, pp. 185-189, 2016.
Vancouver Style
Vishnu Avhad Deepak, Prabhakar Shinde Shalini, Satish Mahale Akash, Dilip Shimpi Mitesh, V. Kumbharde Mayur. Aspect Based Sentiment Summarization using Data Mining. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(5):185-189.
Harvard Style
Vishnu, Avhad Deepak, Prabhakar, Shinde Shalini, Satish, Mahale Akash, Dilip, Shimpi Mitesh, & V., Kumbharde Mayur (2016) 'Aspect Based Sentiment Summarization using Data Mining', International Journal of Advance Research and Innovative Ideas In Education, 2(5), pp. 185-189.
Chicago Style
Vishnu, Avhad Deepak, et al. "Aspect Based Sentiment Summarization using Data Mining." International Journal of Advance Research and Innovative Ideas In Education 2, no. 5 (2016): 185-189.
Turabian Style
Vishnu, Avhad Deepak, et al. "Aspect Based Sentiment Summarization using Data Mining." International Journal of Advance Research and Innovative Ideas In Education 2, no. 5 (2016): 185-189.

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