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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:

An efficient preprocessing method for supervised sentiment analysis by converting sentences to numerical vectors: a twitter case study
Mohammad Karim Sohrabi, Fatemeh Hemmatian
Multimedia Tools and Applications (2019) Vol. 78, Iss. 17, pp. 24863-24882
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

An Effective BERT-Based Pipeline for Twitter Sentiment Analysis: A Case Study in Italian
Marco Pota, Mirko Ventura, Rosario Catelli, et al.
Sensors (2020) Vol. 21, Iss. 1, pp. 133-133
Open Access | Times Cited: 115
Multilingual evaluation of pre-processing for BERT-based sentiment analysis of tweets
Marco Pota, Mirko Ventura, Hamido Fujita, et al.
Expert Systems with Applications (2021) Vol. 181, pp. 115119-115119
Closed Access | Times Cited: 88
Entertainment Chatbot for the Digital Inclusion of Elderly People Without Abstraction Capabilities
Silvia García-Méndez, Francisco de Arriba-Pérez, Francisco J. González‐Castaño, et al.
IEEE Access (2021) Vol. 9, pp. 75878-75891
Open Access | Times Cited: 55
An Efficient Deep Learning for Thai Sentiment Analysis
Nattawat Khamphakdee, Pusadee Seresangtakul
Data (2023) Vol. 8, Iss. 5, pp. 90-90
Open Access | Times Cited: 16
Sentiment Analysis of Financial News Data using TF-IDF and Machine Learning Algorithms
Gideon Popoola, Khadijat-Kuburat Abdullah, Gerard Shu Fuhnwi, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 5
GAWA–A Feature Selection Method for Hybrid Sentiment Classification
Abdur Rasool, Ran Tao, Marjan Kamyab, et al.
IEEE Access (2020) Vol. 8, pp. 191850-191861
Open Access | Times Cited: 39
Deep-Sentiment: An Effective Deep Sentiment Analysis Using a Decision-Based Recurrent Neural Network (D-RNN)
Putta Durga, Deepthi Godavarthi
IEEE Access (2023) Vol. 11, pp. 108433-108447
Open Access | Times Cited: 14
Intelligent Analysis of Arabic Tweets for Detection of Suspicious Messages
Mohammed A. Al Ghamdi, Murtaza Ali Khan
Arabian Journal for Science and Engineering (2020) Vol. 45, Iss. 8, pp. 6021-6032
Closed Access | Times Cited: 33
Disaster damage assessment based on fine-grained topics in social media
Mingxuan Dou, Yandong Wang, Yanyan Gu, et al.
Computers & Geosciences (2021) Vol. 156, pp. 104893-104893
Closed Access | Times Cited: 30
Sentiment Analysis of Twitter Data Using TF-IDF and Machine Learning Techniques
Satyendra Pratap Singh, Krishan Kumar, Brajesh Kumar
2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON) (2022), pp. 252-255
Closed Access | Times Cited: 21
Improving the Performance of Sentiment Analysis Using Enhanced Preprocessing Technique and Artificial Neural Network
Ankit Thakkar, Dhara Mungra, Anjali Agrawal, et al.
IEEE Transactions on Affective Computing (2022) Vol. 13, Iss. 4, pp. 1771-1782
Closed Access | Times Cited: 21
Exploiting bi-directional deep neural networks for multi-domain sentiment analysis using capsule network
Alireza Ghorbanali, Mohammad Karim Sohrabi
Multimedia Tools and Applications (2023) Vol. 82, Iss. 15, pp. 22943-22960
Closed Access | Times Cited: 11
Analysis of Feature Extraction Techniques for Sentiment Analysis of Tweets
Satyendra Sıngh, Krishan Kumar, Brajesh Kumar
Turkish Journal of Engineering (2024) Vol. 8, Iss. 4, pp. 741-753
Open Access | Times Cited: 2
Analysis of Government Policy Sentiment Regarding Vacation during the COVID-19 Pandemic Using the Bidirectional Encoder Representation from Transformers (BERT)
Intan Nurma Yulita, Victor Wijaya, Rudi Rosadi, et al.
Data (2023) Vol. 8, Iss. 3, pp. 46-46
Open Access | Times Cited: 6
Flower Pollination Algorithm for Feature Selection in Tweets Sentiment Analysis
Muhammad Iqbal Abu Latiffi, Mohd Ridzwan Yaakub, Ibrahim Said Ahmad
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 5
Open Access | Times Cited: 10
CBVoSD: context based vectors over sentiment domain ensemble model for review classification
Mayur Wankhade, Chandra Sekhara Rao Annavarapu, Mukul Kirti Verma
The Journal of Supercomputing (2021) Vol. 78, Iss. 5, pp. 6411-6447
Closed Access | Times Cited: 13
Hate Speech Detection in Social Media for the Kurdish Language
Ari M. Saeed, Aso N. Ismael, Danya L. Rasul, et al.
Advances in intelligent systems and computing (2022), pp. 253-260
Closed Access | Times Cited: 9
A hybrid composite features based sentence level sentiment analyzer
Mohammed Maree, Mujahed Eleyat, Shatha Rabayah, et al.
IAES International Journal of Artificial Intelligence (2022) Vol. 12, Iss. 1, pp. 284-284
Open Access | Times Cited: 9
An analysis of environmental big data through the establishment of emotional classification system model based on machine learning: focus on multimedia contents for portal applications
Seong-Taek Park, Do-Yeon Kim, Guozhong Li
Multimedia Tools and Applications (2020) Vol. 80, Iss. 26-27, pp. 34459-34477
Closed Access | Times Cited: 12
Indonesian Twitter Sentiment Analysis Using Word2Vec
Farhan Wahyu Kurniawan, Warih Maharani
(2020), pp. 1-6
Closed Access | Times Cited: 10
Traditional and Deep Learning Approaches for Sentiment Analysis: A Survey
Fatima-ezzahra Lagrari, Youssfi Elkettani
Advances in Science Technology and Engineering Systems Journal (2021) Vol. 6, Iss. 5, pp. 1-7
Open Access | Times Cited: 9
Machine Learning based Sentiment Analysis of Hindi Data with TF-IDF and Count Vectorization
Ashwani Gupta, Utpal Sharma
2020 5th International Conference on Computing, Communication and Security (ICCCS) (2022), pp. 1-5
Closed Access | Times Cited: 6
Teknik Preprocessing Pada Text Mining Menggunakan Data Tweet “Mental Health”
Dianda Rifaldi, Abdul Fadlil, Herman
Decode Jurnal Pendidikan Teknologi Informasi (2023) Vol. 3, Iss. 2, pp. 161-171
Open Access | Times Cited: 3
Machine Learning for Sentiment Analysis: A Survey
Zineb Nassr, Nawal Sael, Faouzia Benabbou
Lecture notes in intelligent transportation and infrastructure (2020), pp. 63-72
Closed Access | Times Cited: 8
Classification and Prioritisation of Software Requirements using Machine Learning – A Systematic Review
Pratvina Talele, Rashmi Phalnikar
2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (2021) Vol. 1, pp. 912-918
Closed Access | Times Cited: 8
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