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Reseach Article

Review Perusal in a Cross Language Framework

Published on March 2017 by Bharti Ahuja, K.n.shedge
Emerging Trends in Computing
Foundation of Computer Science USA
ETC2016 - Number 4
March 2017
Authors: Bharti Ahuja, K.n.shedge
ffdc6843-39e8-4191-9143-8e517dc47993

Bharti Ahuja, K.n.shedge . Review Perusal in a Cross Language Framework. Emerging Trends in Computing. ETC2016, 4 (March 2017), 35-37.

@article{
author = { Bharti Ahuja, K.n.shedge },
title = { Review Perusal in a Cross Language Framework },
journal = { Emerging Trends in Computing },
issue_date = { March 2017 },
volume = { ETC2016 },
number = { 4 },
month = { March },
year = { 2017 },
issn = 0975-8887,
pages = { 35-37 },
numpages = 3,
url = { /proceedings/etc2016/number4/27326-6279/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Emerging Trends in Computing
%A Bharti Ahuja
%A K.n.shedge
%T Review Perusal in a Cross Language Framework
%J Emerging Trends in Computing
%@ 0975-8887
%V ETC2016
%N 4
%P 35-37
%D 2017
%I International Journal of Computer Applications
Abstract

THE world is a fast moving vehicle. In this vehicle there different people belonging to different strata of life. All of them work very hard to live a standard life. People how work so hard spend their money very carefully so before buying any commodity they like to take opinion of various people. The existing system helps to convert the English comment regarding the good they buy into Chinese language which very familiar for the people how stay in that region. But the proposed system helps us to overcome this obstacle by converting the comment regarding the object tor good they require. This required opinion help people to take the right decision about what they want to buy or purchase. The propose system make pos tags for each word of the sentence which make the conversion of the corpus easy and give an accurate result. The word from the original language are added with the pos tags and these words are then compared with sum of word which is obtained by adding the pos tad and word meaning of the translated word. This system results in making the choice of the people easy and also show the percentage of positive, negative or neutral comments about the good they want to purchase. This helps the customer to make a satisfying choice of the good to which there emotions are attached. The sentimental value attached with the product can be analyzed as positive, negative, neutral. It helps to improve the quality of the product and raise it market value.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Pos Tags Corpus Opinion And Sentimental Value.