Amanote Research

Amanote Research

    RegisterSign In

Ontology Based Method for Sentiment Examination

International Journal of Innovative Technology and Exploring Engineering - India
doi 10.35940/ijitee.a9231.119119
Full Text
Open PDF
Abstract

Available in full text

Categories
Mechanics of MaterialsElectronic EngineeringCivilStructural EngineeringElectricalComputer Science
Date

November 10, 2019

Authors

Unknown

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP


Related search

COMMIT at SemEval-2017 Task 5: Ontology-Based Method for Sentiment Analysis of Financial Headlines

2017English

An Ontology-Based Sentiment Classification Methodology for Online Consumer Reviews

2008English

An Agent Based Framework for Sentiment Classification of Online Reviews Using Ontology

Journal of Computer Science
Computer NetworksSoftwareArtificial IntelligenceCommunications
2014English

An Ontology-Based Framework for Syndromic Surveillance Method Selection

2012English

Opinion Mining Method for Sentiment Analysis

IOSR Journal of Computer Engineering
2016English

Research on the Sentiment Analysis of Customer Reviews Based on the Ontology of Phone

2015English

A Vector Based Method of Ontology Matching

2007English

A Naive Method for Ontology Construction

International Journal on Soft Computing, Artificial Intelligence and Applications
2016English

Sentiment Vector Space Model for Lyric-Based Song Sentiment Classification

International Journal of Computer Processing of Languages
2008English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy