Sentiment and Emotion Based Text Representation for Fake Reviews Detection

doi 10.26615/978-954-452-056-4_087
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Incoma Ltd., Shoumen, Bulgaria

Related search

Fake News Detection With Semantic Features and Text Mining

International Journal on Natural Language Computing
2019English

Temporal Sentiment Detection for User Generated Video Product Reviews

2013English

Text Sentiment Analysis for Cartilage Abnormalities Detection From Radiology Reports

Osteoarthritis and Cartilage
Sports MedicineRheumatologyOrthopedicsBiomedical Engineering
2019English

TM-SGTD: Text Mining Based Semantic Graph for Text Document Approach for Text Representation

International Journal of Engineering and Technology
Transfer ProcessesFluid FlowMechanical EngineeringAerospace Engineering
2017English

An Ontology-Based Sentiment Classification Methodology for Online Consumer Reviews

2008English

Sentiment Classification of Internet Commodity Reviews Based on the Extended Chinese Sentiment Lexicon

DEStech Transactions on Computer Science and Engineering
2017English

Simple and Effective Feature Based Sentiment Analysis on Product Reviews Using Domain Specific Sentiment Scores

Polibits
2018English

A Pattern-Based Model for Generating Text to Express Emotion

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2011English

Sentiment Classification of Customer Reviews Based on Fuzzy Logic

2010English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy