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  Authors

Dr. C .V. Madhusudan Reddy Ph.D,S D SUPRAJA,UTUKURU MOUNIKA,YANDAPALLI VASAVI,ARIGELA HARITHA

  Keywords

-- Text Classification, Cyber bullying Detection ,Social Media Monitoring, Sentiment Analysis, Behavioral Pattern Analysis, Machine Learning Models.

  Abstract


The goal of this project is to create an automated system for detecting cyberbullying on social media platforms using Natural Language Processing (NLP) for text classification and Machine Learning for behavioral analysis. Cyberbullying, a growing issue in online interactions, often leads to significant psychological and emotional harm, especially among young users. This project employs NLP techniques to identify and classify harmful content, distinguishing it from neutral or positive interactions based on linguistic patterns, sentiment, and tone. Text data from various social media sources, annotated with labels for bullying and non-bullying content, serves as the dataset. The first phase involves data preprocessing, including text cleaning, tokenization, and word embedding techniques such as Word2Vec or BERT embeddings to capture semantic meaning. With these prepared data inputs, machine learning models such as Support Vector Machines (SVM), Random Forest, or deep learning models like Recurrent Neural Networks (RNNs) and Transformers are trained to classify text accurately. To enhance detection accuracy, this project also includes behavioral analysis by examining user interaction patterns, frequency of harmful words, and network analysis to track the dynamics of cyberbullying incidents. Integrating these analyses enables the model to detect complex bullying patterns that rely not only on language but also on behavioral indicators. This system aims to provide social media platforms with a reliable tool to flag and mitigate cyberbullying, promoting safer online environments.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2504436

  Paper ID - 281714

  Author type - Indian Author

  Page Number(s) - d762-d767

  Pubished in - Volume 13 | Issue 4 | April 2025

  DOI (Digital Object Identifier) -   

  No Of Downloads - 84

  Author Country - India, 518360, Yemmiganur, Yemmiganur, 518360, Science and Technology

  Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2504436

  Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT2504436

  Published Paper PDF Downlaod: - download.php?file=IJCRT2504436

  Cite this article

Dr. C .V. Madhusudan Reddy Ph.D,S D SUPRAJA,UTUKURU MOUNIKA,YANDAPALLI VASAVI,ARIGELA HARITHA,   "CYBERBULLYING PERCEPTION ON SOCIAL MEDIA USING NLP", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.d762-d767, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT2504436.pdf

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The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.

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