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Evaluating and Summarizing Student’s Feedback Using Opinion Mining

V. Jain1

Section:Research Paper, Product Type: Isroset-Journal
Vol.1 , Issue.1 , pp.43-46, Jan-2013


Online published on Dec 12, 2013


Copyright © V. Jain . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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IEEE Style Citation: V. Jain, “Evaluating and Summarizing Student’s Feedback Using Opinion Mining,” International Journal of Scientific Research in Computer Science and Engineering, Vol.1, Issue.1, pp.43-46, 2013.

MLA Style Citation: V. Jain "Evaluating and Summarizing Student’s Feedback Using Opinion Mining." International Journal of Scientific Research in Computer Science and Engineering 1.1 (2013): 43-46.

APA Style Citation: V. Jain, (2013). Evaluating and Summarizing Student’s Feedback Using Opinion Mining. International Journal of Scientific Research in Computer Science and Engineering, 1(1), 43-46.

BibTex Style Citation:
@article{Jain_2013,
author = {V. Jain},
title = {Evaluating and Summarizing Student’s Feedback Using Opinion Mining},
journal = {International Journal of Scientific Research in Computer Science and Engineering},
issue_date = {1 2013},
volume = {1},
Issue = {1},
month = {1},
year = {2013},
issn = {2347-2693},
pages = {43-46},
url = {https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=324},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=324
TI - Evaluating and Summarizing Student’s Feedback Using Opinion Mining
T2 - International Journal of Scientific Research in Computer Science and Engineering
AU - V. Jain
PY - 2013
DA - 2012/12/12
PB - IJCSE, Indore, INDIA
SP - 43-46
IS - 1
VL - 1
SN - 2347-2693
ER -

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Abstract :
Collecting Students feedbacks for the subjects taught is a regular activity of an academic institution. Automating the process of collecting these feedbacks becomes an important requirement. This provides an opportunity to analyze these feedbacks efficiently and summarize the performance of a teacher in the subjects he taught. Opinion mining (or Sentiment Analysis) which is generally used for classifying customer reviews in terms of positive or negative sentiments can be used effectively in evaluating and summarizing the student’s feedback.

Key-Words / Index Term :
Opining Mining, Information Retrieval, Text Summarization, Text Mining

References :
[1] K. Dave, S. Lawrence, and D. M. Pennock, “Mining the peanut gallery: Opinion extraction and semantic classification of product reviews,” in Proceedings of WWW, pp. 519–528, 2003.
[2] B. Pang and L. Lee, “A Sentimental Education: Sentiment Analysis Using Subjectivity”, Proc. of ACL, pp. 271-278, 2004.
[3] M. Hu and B. Liu, Mining and summarizing customer reviews. In Proc. of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining (KDD `04). ACM, USA, pp. 168-177, 2004.
[4] K. P. Shein and T. S. Nyunt, "Sentiment Classification Based on Ontology and SVM Classifier," Communication Software and Networks, 2010. ICCSN `10. Second International Conference on, Singapore, pp. 169-172, 2010.
[5] T. Mullen and N. Collier, “Sentiment analysis using support vector machines with diverse information Sources,” in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 412–418, July, 2004.
[6] K. Lerman, S. Goldensohn, and R. McDonald. Sentiment summarization: evaluating and learning user preferences. In Proc. of the 12th Conference of the European Chapter of the Association for Computational Linguistics (EACL `09). Association for Computational Linguistics, USA, pp. 514-522, 2009.
[7] T. Joachims, Learning to Classify Text Using Support Vector Machines, Kluwer Academic Publishers, 2001.

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