Call for Papers:Vol.11 Issue.5

Submission
Last date		 28-Oct-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-5. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  A Survey of Identifying Opinion Features via Intrinsic and Extrinsic Domain Relevance
PaperId: :  1754
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 2 2016
DUI:    16.0415/IJARIIE-1754
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Vinakshi longaniS.R.E.S COE Kopargaon
Prof M.S AnkosheS.R.E.S COE Kopargaon

Abstract

Computer Engineering
Candidate Features, IDR Score, EDR Score, Opinion Feature.
There are various existing systems in order to identify opinion features in a single review corpus without considering their disparities across variety of review corpus. This paper represents the criteria to recognize opinion feature from invalid ones by distributional characteristics across two corpora domain relevant corpus which is Intrinsic domain and a domain independent corpus which is Extrinsic domain .The valid opinion features are extracted by the following procedure in the first step candidate features are extracted by using the syntactic rules .In the second step, the domain relevance score for candidate feature is computed. In the third step domain relevance score is compared with the threshold, the opinion features are thus considered definite when IDR score is more than threshold and EDR score is having value Lower than threshold. The thresholding method is termed as intrinsic and extrinsic domain relevance(IEDR) approach

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Vinakshi longani, and Prof M.S Ankoshe. "A Survey of Identifying Opinion Features via Intrinsic and Extrinsic Domain Relevance" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 2 2016 Page 346-348
MLA Vinakshi longani, and Prof M.S Ankoshe. "A Survey of Identifying Opinion Features via Intrinsic and Extrinsic Domain Relevance." International Journal Of Advance Research And Innovative Ideas In Education 2.2(2016) : 346-348.
APA Vinakshi longani, & Prof M.S Ankoshe. (2016). A Survey of Identifying Opinion Features via Intrinsic and Extrinsic Domain Relevance. International Journal Of Advance Research And Innovative Ideas In Education, 2(2), 346-348.
Chicago Vinakshi longani, and Prof M.S Ankoshe. "A Survey of Identifying Opinion Features via Intrinsic and Extrinsic Domain Relevance." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 2 (2016) : 346-348.
Oxford Vinakshi longani, and Prof M.S Ankoshe. 'A Survey of Identifying Opinion Features via Intrinsic and Extrinsic Domain Relevance', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 2, 2016, p. 346-348. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/A_Survey_of_Identifying_Opinion_Features_via_Intrinsic_and_Extrinsic_Domain_Relevance_ijariie1754.pdf (Accessed : ).
Harvard Vinakshi longani, and Prof M.S Ankoshe. (2016) 'A Survey of Identifying Opinion Features via Intrinsic and Extrinsic Domain Relevance', International Journal Of Advance Research And Innovative Ideas In Education, 2(2), pp. 346-348IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/A_Survey_of_Identifying_Opinion_Features_via_Intrinsic_and_Extrinsic_Domain_Relevance_ijariie1754.pdf (Accessed : )
IEEE Vinakshi longani, and Prof M.S Ankoshe, "A Survey of Identifying Opinion Features via Intrinsic and Extrinsic Domain Relevance," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 2, pp. 346-348, Mar-App 2016. [Online]. Available: http://ijariie.com/AdminUploadPdf/A_Survey_of_Identifying_Opinion_Features_via_Intrinsic_and_Extrinsic_Domain_Relevance_ijariie1754.pdf [Accessed : ].
Turabian Vinakshi longani, and Prof M.S Ankoshe. "A Survey of Identifying Opinion Features via Intrinsic and Extrinsic Domain Relevance." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 2 ().
Vancouver Vinakshi longani, and Prof M.S Ankoshe. A Survey of Identifying Opinion Features via Intrinsic and Extrinsic Domain Relevance. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : ]; 2(2) : 346-348. Available from: http://ijariie.com/AdminUploadPdf/A_Survey_of_Identifying_Opinion_Features_via_Intrinsic_and_Extrinsic_Domain_Relevance_ijariie1754.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Block-Chain Based Document Verification System using IPFSComputer EngineeringAkash Santosh Devade Download
A COMPREHENSIVE REVIEW OF DUAL FEATURE-BASED INTRUSION DETECTION SYSTEM FOR IoT NETWORK SECURITYComputer Science and EngineeringShrinidhi Hegde Download
A Deep Learning Framework for Mood-Based Music Recommendation via Facial Expression AnalysisComputer Vaibhav Ashok Bhangare Download
GREEN NETWORKING: ENERGY-EFFICIENT PROTOCOLS AND SUSTAINABLE NETWORK DESIGN: A COMPREHENSIVE REVIEWComputer Science and EngineeringPradeep Nayak Download
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNINGComputer EngineeringSiddharth Shukracharya Rokade Download
PERSONALITY PREDICTION USING MLComputer EngineeringTanvi Dashrath Bhagat Download
Crop Disease Detectioncomputer Mansi Sunil Sansare Download
NEXT-GEN PLANT DISEASE DIAGNOSIS WITH GEN-AI AND DEEP LEARNINGComputer ScienceGuruprasad K Download
GEN-AI POWERED PIGEON PEA LEAF-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISIONComputer ScienceRajshekar G Download
GEN-AI POWERED LIVER-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISIONComputer ScienceDhananjay M Download
Fake Review Detection on Amazon Dataset Using Classification TechniquesMachine LearningVishwajeet Kumar Download
Securing mobile networks:Identifying hijacking in opportunistic scenariosComputer engineeringKiran D Hosagoudar Download
The integration of artificial intelligence in web developmentComputer EngineeringRashmi M R Download
Intelligent Health Diagnosis Techniques Exploiting Automatic Ontology Generation and Web-Based Personal Health Record ServicesComputer ScienceMd Nafis Alam Download
Intelligent Allocation of Urban Parking Spaces Using Computational Learning Modelscomputer ApplicationMANOJ H N Download
12