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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:

Twitter sentiment analysis using hybrid cuckoo search method
Avinash Chandra Pandey, Dharmveer Singh Rajpoot, Mukesh Saraswat
Information Processing & Management (2017) Vol. 53, Iss. 4, pp. 764-779
Closed Access | Times Cited: 290

Showing 1-25 of 290 citing articles:

Sentiment Analysis Based on Deep Learning: A Comparative Study
Cach N. Dang, Marı́a N. Moreno Garcı́a, Fernando De la Prieta
Electronics (2020) Vol. 9, Iss. 3, pp. 483-483
Open Access | Times Cited: 522
A survey on classification techniques for opinion mining and sentiment analysis
Fatemeh Hemmatian, Mohammad Karim Sohrabi
Artificial Intelligence Review (2017) Vol. 52, Iss. 3, pp. 1495-1545
Closed Access | Times Cited: 334
Social media sentiment analysis based on COVID-19
L. Nemes, Attila Kiss
Journal of Information and Telecommunication (2020) Vol. 5, Iss. 1, pp. 1-15
Open Access | Times Cited: 222
A Proposed Sentiment Analysis Deep Learning Algorithm for Analyzing COVID-19 Tweets
Harleen Kaur, Shafqat Ul Ahsaan, Bhavya Alankar, et al.
Information Systems Frontiers (2021) Vol. 23, Iss. 6, pp. 1417-1429
Open Access | Times Cited: 178
Tweets Classification on the Base of Sentiments for US Airline Companies
Furqan Rustam, Imran Ashraf, Arif Mehmood, et al.
Entropy (2019) Vol. 21, Iss. 11, pp. 1078-1078
Open Access | Times Cited: 170
Sentiment analysis on Twitter data integrating TextBlob and deep learning models: The case of US airline industry
Wajdi Aljedaani, Furqan Rustam, Mohamed Wiem Mkaouer, et al.
Knowledge-Based Systems (2022) Vol. 255, pp. 109780-109780
Closed Access | Times Cited: 87
A Deep Learning Approach for Sentiment Analysis of COVID-19 Reviews
Chetanpal Singh, Tasadduq Imam, Santoso Wibowo, et al.
Applied Sciences (2022) Vol. 12, Iss. 8, pp. 3709-3709
Open Access | Times Cited: 81
Ensemble transfer learning-based multimodal sentiment analysis using weighted convolutional neural networks
Alireza Ghorbanali, Mohammad Karim Sohrabi, Farzin Yaghmaee
Information Processing & Management (2022) Vol. 59, Iss. 3, pp. 102929-102929
Closed Access | Times Cited: 69
Discourse-aware rumour stance classification in social media using sequential classifiers
Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, et al.
Information Processing & Management (2017) Vol. 54, Iss. 2, pp. 273-290
Open Access | Times Cited: 144
Monitoring the public opinion about the vaccination topic from tweets analysis
Eleonora D’Andrea, Pietro Ducange, Alessio Bechini, et al.
Expert Systems with Applications (2018) Vol. 116, pp. 209-226
Open Access | Times Cited: 143
A survey on big data-driven digital phenotyping of mental health
Yunji Liang, Xiaolong Zheng, Daniel Zeng
Information Fusion (2019) Vol. 52, pp. 290-307
Closed Access | Times Cited: 134
A Novel Clustering Method Using Enhanced Grey Wolf Optimizer and MapReduce
Ashish Kumar Tripathi, Kapil Sharma, Manju Bala
Big Data Research (2018) Vol. 14, pp. 93-100
Closed Access | Times Cited: 109
Hybrid Deep Learning Models for Sentiment Analysis
Cach N. Dang, Marı́a N. Moreno Garcı́a, Fernando De la Prieta
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 99
Feeling Positive About Reopening? New Normal Scenarios From COVID-19 US Reopen Sentiment Analytics
Jim Samuel, Md. Mokhlesur Rahman, G. G. Md. Nawaz Ali, et al.
IEEE Access (2020) Vol. 8, pp. 142173-142190
Open Access | Times Cited: 94
Machine learning techniques for hate speech classification of twitter data: State-of-the-art, future challenges and research directions
Femi Emmanuel Ayo, Olusegun Folorunso, Friday Thomas Ibharalu, et al.
Computer Science Review (2020) Vol. 38, pp. 100311-100311
Closed Access | Times Cited: 92
Sentiment Analysis of Danmaku Videos Based on Naïve Bayes and Sentiment Dictionary
Zhi Li, Rui Li, Jin Guanghao
IEEE Access (2020) Vol. 8, pp. 75073-75084
Open Access | Times Cited: 85
bSSA: Binary Salp Swarm Algorithm With Hybrid Data Transformation for Feature Selection
Sayar Singh Shekhawat, Harish Sharma, Sandeep Kumar, et al.
IEEE Access (2021) Vol. 9, pp. 14867-14882
Open Access | Times Cited: 72
A Hybrid Approach of Machine Learning and Lexicons to Sentiment Analysis: Enhanced Insights from Twitter Data of Natural Disasters
Shalak Mendon, Pankaj Dutta, Abhishek Behl, et al.
Information Systems Frontiers (2021) Vol. 23, Iss. 5, pp. 1145-1168
Open Access | Times Cited: 72
An Approach to Integrating Sentiment Analysis into Recommender Systems
Cach N. Dang, Marı́a N. Moreno Garcı́a, Fernando De la Prieta
Sensors (2021) Vol. 21, Iss. 16, pp. 5666-5666
Open Access | Times Cited: 65
Public Opinions about Online Learning during COVID-19: A Sentiment Analysis Approach
Kaushal Kumar Bhagat, Sanjaya Mishra, Alakh Dixit, et al.
Sustainability (2021) Vol. 13, Iss. 6, pp. 3346-3346
Open Access | Times Cited: 56
A Deep Learning Modified Neural Network(DLMNN) based proficient sentiment analysis technique on Twitter data
S. Neelakandan, D. Paulraj, P. Ezhumalai, et al.
Journal of Experimental & Theoretical Artificial Intelligence (2022), pp. 1-20
Closed Access | Times Cited: 43
A survey on sentiment analysis and its applications
Tamara Amjad Al-Qablan, Mohd Halim Mohd Noor, Mohammed Azmi Al‐Betar, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 29, pp. 21567-21601
Closed Access | Times Cited: 22
Modeling public mood and emotion: Stock market trend prediction with anticipatory computing approach
Mu‐Yen Chen, Chien Hsiang Liao, Ren-Pao Hsieh
Computers in Human Behavior (2019) Vol. 101, pp. 402-408
Closed Access | Times Cited: 72
Spam review detection using spiral cuckoo search clustering method
Avinash Chandra Pandey, Dharmveer Singh Rajpoot
Evolutionary Intelligence (2019) Vol. 12, Iss. 2, pp. 147-164
Closed Access | Times Cited: 64
What Are We Depressed About When We Talk About COVID-19: Mental Health Analysis on Tweets Using Natural Language Processing
Irene Li, Yixin Li, Tianxiao Li, et al.
Lecture notes in computer science (2020), pp. 358-370
Closed Access | Times Cited: 64
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