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Title: :  Unified Extensible Framework For Sentiment Analysis Based On Opinion Disambiguation
PaperId: :  11517
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 6 Issue 2 2020
DUI:    16.0415/IJARIIE-11517
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Aarthi KSRM Valliammai Engineering College
Bhavadharani TSRM Valliammai Engineering College
Deepika JSRM Valliammai Engineering College
Karthika RSRM Valliammai Engineering College
Lakshmi RSRM Valliammai Engineering College

Abstract

Information Technology
Text Tokenization ,Text Summarization,Sentiment Analysis,Cyberhate
Sentiment Disambiguation is a vital component of any sentiment analysis or opinion analysis of the Data Mining domain. It plays a decisive feature to distinguish sentiment polarity of different text granularity. Another important point is to process the fine-grained large data sentiment analysis based on sentiment disambiguation lexicon to improve the accuracy of sentiment prediction. This system uses the Statistical Natural Language Processing computational techniques for the sentiment analysis. The existing system is based on a customized fuzzy method approach with two-stage training to deal with text ambiguity. The existing system classifies three types of cyberhate speeches: race, disability, and sexual orientation. In the existing system, the prediction accuracy has decreased when large data set contains huge diversity in the text. The existing system cannot achieve the efficiency of removing the ambiguity when there is intersectionality among a wide variety of cyberhate speech. The proposed system implements the process to determine the equivocal text into various categories toward Sentimental Disambiguation which narrows down the meaning of the words. The proposed system combines the sentiment label data and sentiment contrast data between focus keywords and context words into words vector representation learning model. The accuracy of the proposed prediction model will be very high even though the large diversity in the input text has fuzziness, ambiguity, and vagueness.

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IJARIIE Aarthi K, Bhavadharani T, Deepika J, Karthika R, and Lakshmi R. "Unified Extensible Framework For Sentiment Analysis Based On Opinion Disambiguation" International Journal Of Advance Research And Innovative Ideas In Education Volume 6 Issue 2 2020 Page 147-151
MLA Aarthi K, Bhavadharani T, Deepika J, Karthika R, and Lakshmi R. "Unified Extensible Framework For Sentiment Analysis Based On Opinion Disambiguation." International Journal Of Advance Research And Innovative Ideas In Education 6.2(2020) : 147-151.
APA Aarthi K, Bhavadharani T, Deepika J, Karthika R, & Lakshmi R. (2020). Unified Extensible Framework For Sentiment Analysis Based On Opinion Disambiguation. International Journal Of Advance Research And Innovative Ideas In Education, 6(2), 147-151.
Chicago Aarthi K, Bhavadharani T, Deepika J, Karthika R, and Lakshmi R. "Unified Extensible Framework For Sentiment Analysis Based On Opinion Disambiguation." International Journal Of Advance Research And Innovative Ideas In Education 6, no. 2 (2020) : 147-151.
Oxford Aarthi K, Bhavadharani T, Deepika J, Karthika R, and Lakshmi R. 'Unified Extensible Framework For Sentiment Analysis Based On Opinion Disambiguation', International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 2, 2020, p. 147-151. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Unified_Extensible_Framework_For_Sentiment_Analysis_Based_On_Opinion_Disambiguation_ijariie11517.pdf (Accessed : 06 August 2020).
Harvard Aarthi K, Bhavadharani T, Deepika J, Karthika R, and Lakshmi R. (2020) 'Unified Extensible Framework For Sentiment Analysis Based On Opinion Disambiguation', International Journal Of Advance Research And Innovative Ideas In Education, 6(2), pp. 147-151IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Unified_Extensible_Framework_For_Sentiment_Analysis_Based_On_Opinion_Disambiguation_ijariie11517.pdf (Accessed : 06 August 2020)
IEEE Aarthi K, Bhavadharani T, Deepika J, Karthika R, and Lakshmi R, "Unified Extensible Framework For Sentiment Analysis Based On Opinion Disambiguation," International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 2, pp. 147-151, Mar-App 2020. [Online]. Available: https://ijariie.com/AdminUploadPdf/Unified_Extensible_Framework_For_Sentiment_Analysis_Based_On_Opinion_Disambiguation_ijariie11517.pdf [Accessed : 06 August 2020].
Turabian Aarthi K, Bhavadharani T, Deepika J, Karthika R, and Lakshmi R. "Unified Extensible Framework For Sentiment Analysis Based On Opinion Disambiguation." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 6 number 2 (06 August 2020).
Vancouver Aarthi K, Bhavadharani T, Deepika J, Karthika R, and Lakshmi R. Unified Extensible Framework For Sentiment Analysis Based On Opinion Disambiguation. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2020 [Cited : 06 August 2020]; 6(2) : 147-151. Available from: https://ijariie.com/AdminUploadPdf/Unified_Extensible_Framework_For_Sentiment_Analysis_Based_On_Opinion_Disambiguation_ijariie11517.pdf
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