Open Access Journal

ISSN : 2456-1304 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Science Engineering and Management (IJSEM)

Monthly Journal for Science Engineering and Management

ISSN : 2456-1304 (Online)

A Review of Opinion Extraction and Analysis

Author : S. C. Nandedkar 1 J. B. Patil 2 P. A. Joshi 3

Date of Publication :20th February 2018

Abstract: The internet is becoming user centric and people preferring to exchange opinions through online social means such as – discussion forums, blogs and micro-blogs. This user opinion base is a valuable resource from buyers, as well as sellers’ perspective. It is helpful for buyers to choose a good product and helpful for sellers to improve their product. This is the task known as opinion mining and analysis. This paper represents a simple approach for understanding customers review using machine learning technique. It also illustrates the steps: data gathering, preprocessing, POS tagging, dependence analysis, opinion and target word finding. It also gives the technique for measuring the performance of the above stated system. Finally, it creates the knowledge base to fulfill the said intention.

Reference :

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    2. B. Liu, “Sentiment Analysis and Opinion Mining”, Synthesis Lectures on Human Language Technologies, vol. 5, no. 1, pp. 1-167, May 2012.
    3. A. Das, “Opinion Extraction and Summarization from Text Documents in Bengali”, Ph. D. dissertation, Jadavpur University, Department of Computer Science & Engineering, Kolkata, December 2011
    4.  K. Liu, X. Liheng, and J. Zhao, “Co-extracting Opinion Targets and OpinionWords from Online Reviews Based on the Word Alignment Model”, IEEE Trans. Knowledge and Data Engineering, vol. 6, no. 1, January 2013.
    5. D. Ostrowski, “Sentiment Mining within Social Media for Topic Identification”, in Proc. IEEE Fourth International Conference on Semantic Computing, pp. 394 – 401, 2010.
    6.  S. Shahheidari, H. Dong, and M. N. R. Daud, “Twitter sentiment mining: A multi domain analysis”, in Proc. IEEE Seventh International Conference on Complex, Intelligent, and Software Intensive Systems, pp. 144 – 149, 2013.

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