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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Research on Sentiment Analysis Model of Short Text Based on Deep Learning
Zhou Gui Zhou
Scientific Programming (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 17

Showing 17 citing articles:

Sentiment Analysis of Product Reviews Using Deep Learning and Transformer Models: A Comparative Study
Sheetal Kusal, Shruti Patil, Aashna Gupta, et al.
Lecture notes in networks and systems (2024), pp. 183-204
Closed Access | Times Cited: 2
AI Ads: Practicability of Text Generation for F&B Marketing
Amos Chow, Li Kuang, Ming Tong, et al.
Journal of Logistics Informatics and Service Science (2024) Vol. 11, Iss. 2
Open Access | Times Cited: 2
Integrating TextBlob and VADER for Dynamic Sentiment Analysis: A GUI-Based Approach with Emotion Visualization and Confidence Assessment
Mala Das
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 3, pp. 2917-2923
Open Access | Times Cited: 2
Text Sentiment Analysis based on Multichannel Convolutional Neural Networks and Syntactic Structure
Debabrata Maity, Suvarna G. Kanakaraddi, Shantala Giraddi
Procedia Computer Science (2023) Vol. 218, pp. 220-226
Open Access | Times Cited: 6
Preserving Users’ Sensitive Data in Physical and Virtual World Using Machine Learning: A Strategy
Nasib Singh Gill, Preeti Gulia, Amit Sagu, et al.
(2023), pp. 18-23
Closed Access | Times Cited: 3
Comparative Analysis of Multi-Model and Uni-Model Approaches using Time Distributed Bidirectional LSTM for Multidata Sentiment Analysis
Krati Gupta, Mahesh Parmar
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023), pp. 1-7
Closed Access | Times Cited: 2
Sentiment Analysis: A Hybrid Approach on Twitter Data
Chandra Gupta Maurya, S. Jha
Procedia Computer Science (2024) Vol. 235, pp. 990-999
Open Access
Sentiment Analysis for Financial News Using RNN-LSTM Network
Kelvin Leonardi Kohsasih, B. Herawan Hayadi, Robet, et al.
2022 4th International Conference on Cybernetics and Intelligent System (ICORIS) (2022), pp. 1-6
Closed Access | Times Cited: 3
Multimodal Content Analysis Using Deep Learning
Mr. Madhu Kumar Papti
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 5, pp. 564-569
Open Access
Exploring Sentiment Analysis across Text, Audio, and Video: A Comprehensive Approach and Future Directions
Mala Das
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 5, pp. 3129-3134
Open Access
Literature Review on N-Gram Text Classification Models for Hotel Reviews Sentiment Analysis
Bharti B. Balande, Dinesh M. Kolte, Ramesh R. Manza, et al.
Algorithms for intelligent systems (2024), pp. 641-655
Closed Access
Investigating Developer Emotions in Technical Chat Conversations: The Study of Discord and Slack
Raha Binte Rashid
(2024)
Open Access
EBSD: Short Text Sentiment Classification Using Sentence Vector Enhancement Mechanism
Zhiwei Wang, Linlin Zhang, Kai Zhao, et al.
Lecture notes in computer science (2024), pp. 335-349
Closed Access
A Holistic Study on Aspect-Based Sentiment Analysis
HIMANSHI HIMANSHI, Jyoti Vashishtha
Algorithms for intelligent systems (2023), pp. 233-249
Closed Access | Times Cited: 1
An embedded feature selection approach for depression classification using short text sequences
S. Kavi Priya, Pon Karthika K
Applied Soft Computing (2023) Vol. 147, pp. 110828-110828
Closed Access | Times Cited: 1
A Review Paper on Sentiment Analysis using Machine Learning
Shweta Vishwakarma
International Journal for Research in Applied Science and Engineering Technology (2023) Vol. 11, Iss. 11, pp. 528-531
Open Access
Comparative Study on Machine Learning Techniques based Sentiment- Analysis of Textual Documents from Twitter
Sayantan Bhattacharyais, Ali Rahmat, Chandra Das, et al.
American Journal Of Advanced Computing (2023) Vol. 2, Iss. 2
Open Access
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