[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-118532-en":3,"doc-seo-118532-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},118532,962075114101,"Seraphina","https://ap-avatar.wpscdn.com/avatar/e000253a75eb197efd?x-image-process=image/resize,m_fixed,w_180,h_180&k=1780044092746381165",8,"Research & Report","Cyberbullying (Hate Speech and Offensive Language) detection using machine learning - thesis","Thesis investigates cyberbullying detection framed as hate speech and offensive language identification using machine learning approaches. It establishes study background, states the problem, defines research objectives, and formulates research questions, then surveys prior cyberbullying detection methods and the evolution of machine learning models. The work analyzes system requirements for data and modeling, details the methodology for collecting and preparing datasets, training and validating models, and applying evaluation criteria. Ethical aspects, constraints, and the implementation phase are addressed to support reliable and responsible detection performance.","CALIFORNIA STATE UNIVERSITY, NORTHRIDGE  \nCyberbullying (Hate Speech and Offensive Language)  \ndetection using machine learning.  \nA thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science  \nBy  \nSai Poojitha Battula  \nMay-2024  \nThe thesis of Sai Poojitha Battula is approved:  \nDr. Robert D Mcilhenny  \nDr. Vahe Karamian  \nDr. George Taehyung Wang, Chair  \nDate  \nDate  \nDate  \nCalifornia State University, Northridge  \nTable of Contents  \nSignature Page ...........................................................................................................................ii  \nList of Figures ............................................................................................................................ v  \nList of Abbreviations ................................................................................................................vi  \nAbstract ....................................................................................................................................vii  \nChapter 1-Introduction ............................................................................................................. 1  \n1.1 Background and Context of the Study ............................................................................. 1  \n1.2 Problem Statement ...........................................................................................................2  \n1.3 Objectives of The Study ...................................................................................................2  \n1.4 Research Questions ..........................................................................................................4  \n1.5 Importance of the Study ...................................................................................................5  \n1.6 Range and Constraints ......................................................................................................6  \n1.7 Methodologies Overview .................................................................................................9  \n1.8 Proposed Solution ............................................................................................................ 8  \nChapter 2-Literature Survey .................................................................................................. 10  \n2.1 Introduction .................................................................................................................... 10  \n2.2 Evolution of Cyberbullying Detection Methods ............................................................ 11  \n2.3 Role of Machine Learning in Identifying Cyberbullying............................................... 12  \n2.4 Detailed Analysis of Various Machine Learning Models .............................................. 13  \n2.5 Analysis and Comparison of Models ............................................................................. 14  \n2.6 Implementing Machine Learning in Online Platforms .................................................. 15  \n2.7 Identifying Research Gaps and Future Research Directions .......................................... 16  \n2.8 Summary ........................................................................................................................ 17  \nChapter 3-System Analysis .................................................................................................... 19  \n3.1 Introduction .................................................................................................................... 19  \n3.2 Data and Model Requirements Collection .....................................................................20  \n3.3 Analysis of the Current System......................................................................................21  \n3.4 Analysis of the Envisioned System ................................................................................22  \n3.5 Required Resources ","cbCaidZgVmpZJcgR","https://ap.wps.com/l/cbCaidZgVmpZJcgR","pdf",1200674,1,81,"English","en",105,"# Chapter 1 - Introduction\n## Background and Context of the Study\n## Problem Statement\n## Objectives of The Study\n## Research Questions\n## Importance of the Study\n## Range and Constraints\n## Methodologies Overview\n## Proposed Solution\n# Chapter 2 - Literature Survey\n## Evolution of Cyberbullying Detection Methods\n## Role of Machine Learning in Identifying Cyberbullying\n## Detailed Analysis of Various Machine Learning Models\n## Analysis and Comparison of Models\n## Implementing Machine Learning in Online Platforms\n## Identifying Research Gaps and Future Research Directions\n## Summary\n# Chapter 3 - System Analysis\n## Data and Model Requirements Collection\n## Analysis of the Current System\n## Analysis of the Envisioned System\n## Required Resources\n## Block Diagram\n# Chapter 4 - Research Methodologies\n## Methodological Approach\n## Gathering and Preparing Data\n## Analyzing the Data\n## Development and Validation of Machine Learning Models\n## Criteria for Evaluating Model Performance\n## Ethical Aspects in Research\n## Constraints of the Research\n## Summary\n# Chapter 5 - Implementation\n## Data Description\n## Feature Description\n## Label Column Distribution","[{\"question\":\"What problem does the thesis address?\",\"answer\":\"The thesis focuses on detecting cyberbullying by identifying hate speech and offensive language using machine learning methods.\"},{\"question\":\"How does the thesis develop and validate machine learning models?\",\"answer\":\"It collects and prepares data, analyzes it, trains machine learning models, and validates them using defined performance evaluation criteria.\"},{\"question\":\"What ethical considerations are discussed in the research?\",\"answer\":\"The methodology section includes ethical aspects in research and also outlines constraints affecting the study.\"}]","Cyberbullying (Hate Speech and Offensive Language) detection using machine learning - thesis | PDF",1785684013,204,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"cyberbullying-hate-speech-and-offensive-language-detection-using-machine-learning-thesis","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/cyberbullying-hate-speech-and-offensive-language-detection-using-machine-learning-thesis/118532/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-02",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What problem does the thesis address?","Question",{"text":75,"@type":76},"The thesis focuses on detecting cyberbullying by identifying hate speech and offensive language using machine learning methods.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does the thesis develop and validate machine learning models?",{"text":80,"@type":76},"It collects and prepares data, analyzes it, trains machine learning models, and validates them using defined performance evaluation criteria.",{"name":82,"@type":73,"acceptedAnswer":83},"What ethical considerations are discussed in the research?",{"text":84,"@type":76},"The methodology section includes ethical aspects in research and also outlines constraints affecting the study.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]