A Semi-Supervised Framework Based on Self-Constructed Adaptive Lexicon for Persian Sentiment Analysis

Signal and Data Processing
doi 10.29252/jsdp.15.2.89
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Armenian Green Publishing Co.

Related search

A Framework for Arabic Sentiment Analysis Using Supervised Classification

International Journal of Data Mining, Modelling and Management
ModelingSimulationComputer Science ApplicationsManagement Information Systems
2016English

A Semi-Supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2018English

LCCT: A Semi-Supervised Model for Sentiment Classification

2015English

Lexicon-Based Sentiment Analysis Approach for Ranking Event Entities

International Journal of Services and Standards
Management of TechnologyInnovation
2018English

Improved Lexicon-Based Sentiment Analysis for Social Media Analytics

Security Informatics
2015English

Towards Improving the Lexicon-Based Approach for Arabic Sentiment Analysis

International Journal of Information Technology and Web Engineering
Computer Science
2014English

Semi-Supervised Domain Adaptation and Collaborative Deep Learning for Dual Sentiment Analysis

SN Applied Sciences
2019English

Semi-Supervised Feature Selection With Adaptive Discriminant Analysis

Proceedings of the AAAI Conference on Artificial Intelligence
2019English

Co-Training for Semi-Supervised Sentiment Classification Based on Dual-View Bags-Of-Words Representation

2015English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy