A Review of Deep Learning Models for Twitter Sentiment Analysis: Challenges and Opportunities

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

Original language	English
Journal	IEEE Transactions on Computational Social Systems
Publication status	Published - 2023
Externally published	Yes

Keywords

@article{14de2024c0224d78b95dda46b346181c,

title = "A Review of Deep Learning Models for Twitter Sentiment Analysis: Challenges and Opportunities",

keywords = "Sentiment Analysis, Deep Learning, Social Network Analysis",

author = "Laxmi Chaudhary and Nancy Girdhar and Deepak Sharma and Perez, \{Javier Andrew\} and Antoine Doucet and Matthias Renz",

year = "2023",

language = "English",

journal = "IEEE Transactions on Computational Social Systems",

issn = "2329-924X",

publisher = "IEEE Systems, Man, and Cybernetics Society",

}

TY - JOUR

T1 - A Review of Deep Learning Models for Twitter Sentiment Analysis: Challenges and Opportunities

AU - Chaudhary, Laxmi

AU - Girdhar, Nancy

AU - Sharma, Deepak

AU - Perez, Javier Andrew

AU - Doucet, Antoine

AU - Renz, Matthias

PY - 2023

Y1 - 2023

KW - Sentiment Analysis

KW - Deep Learning

KW - Social Network Analysis

M3 - Review article

SN - 2329-924X

JO - IEEE Transactions on Computational Social Systems

JF - IEEE Transactions on Computational Social Systems

ER -