Open Access   Article Go Back

Estimating and Recapitalizing the Clients Reviews Efficiently on Snare

Kavyashree B L1 , Nandhish A C2

Section:Research Paper, Product Type: Conference Paper
Volume-04 , Issue-03 , Page no. 159-164, May-2016

Online published on Jun 07, 2016

Copyright © Kavyashree B L, Nandhish A C . 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.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Kavyashree B L, Nandhish A C, “Estimating and Recapitalizing the Clients Reviews Efficiently on Snare,” International Journal of Computer Sciences and Engineering, Vol.04, Issue.03, pp.159-164, 2016.

MLA Style Citation: Kavyashree B L, Nandhish A C "Estimating and Recapitalizing the Clients Reviews Efficiently on Snare." International Journal of Computer Sciences and Engineering 04.03 (2016): 159-164.

APA Style Citation: Kavyashree B L, Nandhish A C, (2016). Estimating and Recapitalizing the Clients Reviews Efficiently on Snare. International Journal of Computer Sciences and Engineering, 04(03), 159-164.

BibTex Style Citation:
@article{L_2016,
author = {Kavyashree B L, Nandhish A C},
title = {Estimating and Recapitalizing the Clients Reviews Efficiently on Snare},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2016},
volume = {04},
Issue = {03},
month = {5},
year = {2016},
issn = {2347-2693},
pages = {159-164},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=84},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=84
TI - Estimating and Recapitalizing the Clients Reviews Efficiently on Snare
T2 - International Journal of Computer Sciences and Engineering
AU - Kavyashree B L, Nandhish A C
PY - 2016
DA - 2016/06/07
PB - IJCSE, Indore, INDIA
SP - 159-164
IS - 03
VL - 04
SN - 2347-2693
ER -

           

Abstract

In this paper, the utilization of some of the large amount of data are inculcated to the users by some of the recommended products that are readily available. According to this the performance reliability of the particular product depends on the customers reviews so as to implement the relatively accessible cases in order to get the relevant manufactured articles that are attempting to get purchased from the customers who are ready to buy those products. The problem here is that the recommended system is being used only by the Amazon users. Therefore this paper is being presented for the utilization of other users also. Effectively the customer gets the reviews from the website in the same way in this paper the scanning of the barcode of the particular product is being introduced in order to inculcate the exact resources that are mandatorily introduced so as to perform the basic reviews of some of the similar products. Lastly the description of the product, name of the product, quality of the product needs as well as the summaries and reviews will be expected as the results.

Key-Words / Index Term

Estimation Withdrawal, Recapitalization, User Reviews, Term Frequencies, Data manipulation, Synchronization, Customer evaluation.

References

[1] Alexandra Trilla, Francesc Alias "Condemnation-Pedestal Attitude scrutiny for Expressive Text-to-Speech", IEEE Transactions on Audio, Speech, and Language Progressioning, Vol. 21, No. 2, February 2013, pp.223-233.
[2] Alvaro Ortigosa, José M. Martín, Rosa M. Carro, "Attitude scrutiny in Facebook and its application to e-learning", Computers in Human Behavior Journal Elsevier 2013.
[3] Elena Lloret, Alexandra Balahur, José M. Gómez, Andrés Montoyo, Manuel Palomar, "Towards a unified framework for Estimation Repossesion, mining and summarization" Journal of Intelligent Information Systems Springer 2012, pp.711-747.
[4] Alexandra Balahur, Mijail Kabadjov, Josef Steinberger, Ralf Steinberger, Andrés Montoyo, "Challenges and solutions in the Estimation summarization", Journal of Intelligent Information Systems Springer 2012, pp.375-398.
[5] [5] Chien-Liang Liu, Wen-Hoar Hsaio, Chia-Hoang Lee, Gen-Chi Lu, and Emery Jou “Movie Rating and Re-evaluate Summarization in Mobile Upbringing”, IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Re-evaluates, Vol. 42, No. 3, May 2012, pp.397-406.
[6] Jingjing Liu, Stephanie Seneff, and Victor Zue, "Harvesting and Summarizing User-Spawnd Content for Advanced Speech-Pedestal HCI", IEEE Journal of Selected Topics in Signal Progressioning, Vol. 6, No. 8, Dec 2012, pp.982-992
[7] Chen-Huei Liao Effectiveness of Automated Chinese Sentence Scoring with Latent Semantic Analysis, April 2012
[8] Aditya Joshi, Balamurali A R, Pushpak Bhattacharyya, Rajat Mohanty, "C-Feel-It: A Sentiment Analyzer for Micro-blogs", Proceedings of the ACL-HLT 2011, pp.127-132.
[9] [9] Aditya Joshi, Balamurali A. R., Pushpak Bhattacharyya "A Substitute Tactic for Attitude scrutiny in Hindi a Folder Cram" Proceedings of ICON 2010: 8th International Conference on Natural Language Progressioning, Macmillan Publishers, India.
[10] Bo Pang, Lillian Lee, "Opinion Mining and Sentiment Analysis", Foundations and Trends in Information Retrieval Vol. 2, Nos. 1–2 (2008).
[11] Esuli, A., & Sebastiani, F. (2006). “SentiWordNet: A publicly available resource for opinion mining”. In Proceedings of the 6th international conference on Language Resources and Evaluation (LREC’06), pp.417–422.