Sentiment Analysis on Twitter Data Using Term Frequency-Inverse Document Frequency

Journals Menu

Follow SCIRP

	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Computer and Communications

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.org/journal/jcc
E-mail: jcc@scirp.org

Google-based Impact Factor: 1.98
Citations

Journals Menu

"Sentiment Analysis on Twitter Data Using Term Frequency-Inverse Document Frequency"
written by Akash Addiga, Sikha Bagui,
published by Journal of Computer and Communications, Vol.10 No.8, 2022

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Topic Sentiment Using Logistic Regression and Latent Dirichlet Allocation as a Customer Satisfaction Analysis Model
	JURNAL INFOTEL, 2024

[2]	Consumer review Analysis using NLP and Data Mining
	2023 IEEE 13th …, 2023

[3]	An automatic speech analytics program for digital assessment of stress burden and psychosocial health
	npj Mental Health …, 2023

[4]	American literature news narration based on computer web technology
	Plos one, 2023

[5]	Sentiment Analysis in Product Reviews with Maximum Entropy and Naïve Bayes Using N-gram Method
	2023 6th International …, 2023

[6]	Twitter Sentiment Analysis with Maximum Entropy and Naive Bayes Using N-gram Approach
	… Conference on Information …, 2023

[7]	Optimalisasi K-Means Dalam Pengelompokan Ancaman Insiden Aplikasi Yang Dilaporkan Melalui Service Desk TIK
	SITEKIN: Jurnal Sains, teknologi dan industri, 2022

[8]	Hybrid Machine Learning Techniques for Comparative Opinion Mining

[1]	Career Craft AI: A Personalized Resume Analysis and Job Recommendations System 2024 1st International Conference on Innovative Sustainable Technologies for Energy, Mechatronics, and Smart Systems (ISTEMS), 2024 DOI:10.1109/ISTEMS60181.2024.10560126

[2]	Intelligent Systems Design and Applications Lecture Notes in Networks and Systems, 2024 DOI:10.1007/978-3-031-64813-7_43

[3]	Viral Dynamics on Social Media: Enhancing Brand Engagement through Meme Marketing Strategies Journal of Current Issues & Research in Advertising, 2024 DOI:10.1080/10641734.2024.2390850

[4]	Improving Classification Accuracy With Preprocessing Techniques For Sentiment Analysis 2024 International Conference on Data Science and Its Applications (ICoDSA), 2024 DOI:10.1109/ICoDSA62899.2024.10651657

[5]	Unraveling the Nuclear Debate: Insights Through Clustering of Tweets Electronics, 2024 DOI:10.3390/electronics13214159

[6]	Evaluating of the Impact of Ministry of Health Mobile Applications on Corporate Reputation Through User Comments Using Artificial Intelligence Alphanumeric Journal, 2024 DOI:10.17093/alphanumeric.1537174

[7]	Consumer review Analysis using NLP and Data Mining 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC), 2023 DOI:10.1109/CCWC57344.2023.10099278

[8]	American literature news narration based on computer web technology PLOS ONE, 2023 DOI:10.1371/journal.pone.0292446

[9]	Twitter Sentiment Analysis with Maximum Entropy and Naive Bayes Using N -gram Approach 2023 International Conference on Information Management and Technology (ICIMTech), 2023 DOI:10.1109/ICIMTech59029.2023.10277786

[10]	An automatic speech analytics program for digital assessment of stress burden and psychosocial health npj Mental Health Research, 2023 DOI:10.1038/s44184-023-00036-9

[11]	Consumer review Analysis using NLP and Data Mining 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC), 2023 DOI:10.1109/CCWC57344.2023.10099278

Follow SCIRP

	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Computer and Communications

Journal of Computer and Communications

Journals Menu

Home

About SCIRP

Service

Policies