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Research article

First published 2019-3

NgramSPD: Exploring optimal n -gram model for sentiment polarity detection in different languages

Jelena Graovac, Miljana Mladenović, Ivana Tanasijević

Intelligent Data Analysis: An International Journal

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Research article

First published 2025-8

An Iterative Multi-aspect term Extraction and Polarity Detection Approach Based on spanBERT for Aspect-based Sentiment Analysis

Abubakar M Ashir, Mohammed Abdulghani Taha

Intelligenza Artificiale

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Research article

First published 2015-4-29

Sentiment analysis of texts by capturing underlying sentiment patterns

Seyed Ali Bahrainian, Andreas Dengel

Web Intelligence

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Research article

First published 2020-05-29

Empirical study on imbalanced learning of Arabic sentiment polarity with neural word embedding

El-Sayed M. El-Alfy, Sadam Al-Azani

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2016

Predicting political conflicts from polarized social media

Masoud Makrehchi

Web Intelligence

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Research article

First published 2018-7-27

Impact of polarity in deception detection

Ángel Hernández-Castañeda, Hiram Calvo, Omar Juárez Gambino

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2019-4

Predictive Accuracy of Sentiment Analytics for Tourism: A Metalearning Perspective on Chinese Travel News

Yu Fu, Jin-Xing Hao, Xiang (Robert) Li [...]

Journal of Travel Research

Open access

Research article

First published 2019-12

Integrating word status for joint detection of sentiment and aspect in reviews

Ayoub Bagheri

Journal of Information Science

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Research article

First published 2010-8

Leveraging sentiment analysis for topic detection

Keke Cai, Scott Spangler, Ying Chen [...]

Web Intelligence

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Research article

First published 2023-01-30

Product review opinion based on sentiment analysis

Amit Purohit, Pushpinder Singh Patheja

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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