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Title: :  RANKING RADICALLY IMPLICIT WEB FORUM USERS BY ASPECT SCORE
PaperId: :  4048
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 2 2017
DUI:    16.0415/IJARIIE-4048
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Prithivika.MPanimalar Engineering College
Kothai.KPanimalar Engineering College
Padmapriya.MPanimalar Engineering College
C.JackulinPanimalar Engineering College

Abstract

Computer Science and Engineering
Social media ,Web forum Discussions, Influential Users, Ranking
In the computational linguistics the extraction of actual sense of words from text has a long history in the field. Due to its importance in the field of sentiment analysis it is considered the most important one. During sentiment analysis more challenging problems are faced due to the ambiguous senses of words. In this work we propose a new method of word sense Disambiguation (WSD) using matrix map of the semantic scores extracted from SentiWordNet of WordNet glosses terms. The correct sense of the target word is extracted and determined for which the similarity between WordNet gloss and context matrix is greatest. Our empirical results have shown that the proposed method improves the result of sentence level sentiment classification as evaluated on different domain datasets. From the result it is clear that the propose method achieves an accuracy of 90.71% at sentence level sentiment classification of online reviews. Sentiment Classification (SC) is about assigning a positive, negative or neutral label to piece of text based on its overall opinion. This paper describes our in-progress work on extracting the meaning of words for SC. In particular, we investigate the utility of sense-level polarity information for SC. We first show that methods based on common classification features are not robust and their performance varies widely across different domains. We then show that sense-level polarity information features can significantly improve the performance of SC. We use datasets in different domains to study the robustness of the designated features . Our preliminary results show that the most common sense of the words result in the most robust results across different domains. In addition our observation shows that the sense level polarity information is useful for producing a set of high-quality seed words which can be used for further improvement of SC task.

Citations

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IJARIIE Prithivika.M, Kothai.K, Padmapriya.M, and C.Jackulin. "RANKING RADICALLY IMPLICIT WEB FORUM USERS BY ASPECT SCORE" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 2 2017 Page 345-349
MLA Prithivika.M, Kothai.K, Padmapriya.M, and C.Jackulin. "RANKING RADICALLY IMPLICIT WEB FORUM USERS BY ASPECT SCORE." International Journal Of Advance Research And Innovative Ideas In Education 3.2(2017) : 345-349.
APA Prithivika.M, Kothai.K, Padmapriya.M, & C.Jackulin. (2017). RANKING RADICALLY IMPLICIT WEB FORUM USERS BY ASPECT SCORE. International Journal Of Advance Research And Innovative Ideas In Education, 3(2), 345-349.
Chicago Prithivika.M, Kothai.K, Padmapriya.M, and C.Jackulin. "RANKING RADICALLY IMPLICIT WEB FORUM USERS BY ASPECT SCORE." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 2 (2017) : 345-349.
Oxford Prithivika.M, Kothai.K, Padmapriya.M, and C.Jackulin. 'RANKING RADICALLY IMPLICIT WEB FORUM USERS BY ASPECT SCORE', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, 2017, p. 345-349. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/RANKING_RADICALLY_IMPLICIT_WEB_FORUM_USERS_BY_ASPECT_SCORE_ijariie4048.pdf (Accessed : 05 July 2024).
Harvard Prithivika.M, Kothai.K, Padmapriya.M, and C.Jackulin. (2017) 'RANKING RADICALLY IMPLICIT WEB FORUM USERS BY ASPECT SCORE', International Journal Of Advance Research And Innovative Ideas In Education, 3(2), pp. 345-349IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/RANKING_RADICALLY_IMPLICIT_WEB_FORUM_USERS_BY_ASPECT_SCORE_ijariie4048.pdf (Accessed : 05 July 2024)
IEEE Prithivika.M, Kothai.K, Padmapriya.M, and C.Jackulin, "RANKING RADICALLY IMPLICIT WEB FORUM USERS BY ASPECT SCORE," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, pp. 345-349, Mar-App 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/RANKING_RADICALLY_IMPLICIT_WEB_FORUM_USERS_BY_ASPECT_SCORE_ijariie4048.pdf [Accessed : 05 July 2024].
Turabian Prithivika.M, Kothai.K, Padmapriya.M, and C.Jackulin. "RANKING RADICALLY IMPLICIT WEB FORUM USERS BY ASPECT SCORE." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 2 (05 July 2024).
Vancouver Prithivika.M, Kothai.K, Padmapriya.M, and C.Jackulin. RANKING RADICALLY IMPLICIT WEB FORUM USERS BY ASPECT SCORE. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : 05 July 2024]; 3(2) : 345-349. Available from: http://ijariie.com/AdminUploadPdf/RANKING_RADICALLY_IMPLICIT_WEB_FORUM_USERS_BY_ASPECT_SCORE_ijariie4048.pdf
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