A Comprehensive and Comparative Analysis of Deep Learning Models for Textual Sentiment Analysis

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Data Analysis Techniques and Strategies
Published
2024-09-21
DOI
https://doi.org/10.1504/ijdats.2025.10066752
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
0.00
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article

A Comprehensive and Comparative Analysis of Deep Learning Models for Textual Sentiment Analysis

Leyla Mammadova
International Journal of Data Analysis Techniques and Strategies
Sentiment Analysis and Opinion Mining
article

A Comprehensive and Comparative Analysis of Deep Learning Models for Textual Sentiment Analysis

Leyla Mammadova
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Data Analysis Techniques and StrategiesVol. 17(4)
Openalex Percentile: Top 86%
Sentiment Analysis and Opinion Mining
DOISourceOpenAlex
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A Comprehensive and Comparative Analysis of Deep Learning Models for Textual Sentiment Analysis — Leyla Mammadova · International Journal of Data Analysis Techniques and Strategies (2024) | TGRS Research Map | TGRS