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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: May 2026
Volume 11 | Issue 5
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 120
Article Submitted : 24205
Article Published : 9239
Total Authors : 24597
Total Reviewer : 847
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| Paper Title: | Integrating Sentimental Analysis with Machine Learning for Cyberbullying Detection on Social media |
| Authors Name: | G Tirumala naga sivamani , G Viswanath , E Kalyani , S Nihitha |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_211776
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| Published Paper Id: | IJRTI2604216 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | https://doi.org/10.56975/ijrti.v11i4.211776 |
| Abstract: | The focus of this project is to create a smart system that can find instances of cyberbullying on social media using sentiment analysis and machine learning approaches. With more online platforms emerging every day, cyberbullying and other negative behaviours are on the rise, negatively affecting the safety of users and their mental health. Using Natural Language Processing (NLP), the proposed system will use pre-processed text data to extract relevant feature sets via TF-IDF, and will have the ability to use sentiment analysis to assess the feelings of the users creating the content in order to enhance the model’s ability to differentiate between bullicious and non-bullicious content. In addition, the project utilizes multiple types of machine learning algorithms, such as Naive Bayes, Logistic Regression, Support Vector Machine and Random Forest, having them evaluated based on their performance in categorising content associated with cyberbullying in near real time. By automating the identification of cyberbullying and deterring individuals from engaging in these harmful forms of behaviour on social media, this project aims to create a safer place for everyone to enjoy all that social media has to offer. |
| Keywords: | Cyberbullying Detection, Sentiment Analysis, Natural Language Processing (NLP), Machine Learning, Text Classification, Social Media Analytics, TF-IDF. |
| Cite Article: | "Integrating Sentimental Analysis with Machine Learning for Cyberbullying Detection on Social media", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b592-b598, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604216.pdf |
| Downloads: | 000205516 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2604216
Registration ID:211776
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v11i4.211776
Page No: b592-b598 Country: Dharmavaram, Andhrapradesh, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604216 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604216 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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