Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Identification and Synthesis of Unstructured Data of Violence on Facebook Using a Mood and Emotion AnalysisSystem
PaperId: :  21253
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 4 2023
DUI:    16.0415/IJARIIE-21253
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
NIROOPAMC ENGINEERING COLLEGE
SRAVANTHI KALALAMC ENGINEERING COLLEGE

Abstract

Master of computer Application
FADOHS framework , support vector machines (SVMs) , . Long short-term memory (LSTM) ,
Abstract—Abstract— Hate speech is a type of expression that targets an individual or a group based on their race, ethnicity, religion, sexual orientation, or other characteristics. Although it may be conveyed in a variety of ways, both online and offline, the growing popularity of social media has expanded both its usage and intensity significantly. As a result, the goal of this study is to find and analyse unstructured data from chosen social media posts that attempt to promote hatred in the comment sections. To address this problem, we offer FADOHS, a novel framework that combines data analysis and natural language processing methodologies to alert all social media providers to the prevalence of hatred on social media. To be more specific, we employ sentiment and emotion analysis algorithms to analyse recent postings and comments. Posts suspected of having dehumanising language will be screened before being submitted into the clustering algorithm for further analysis. According to the experimental results, the suggested FADOHS framework outperforms the state-of-the-art technique by around 10Social media allows users to freely express themselves online; yet, when individuals post harsh and opinionated comments that target specific persons or communities, this may lead to animosity against them. Because of the widespread criticism of obesity (fatness), a great deal of fat-shaming material has been made available online. The project ”Framework for Detection and Integration of Unstructured Data of Hate Speech on Facebook Using Sentiment and Emotion Analysis” intends to create a software framework in Java for detecting and integrating hate speech on Facebook.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE NIROOP, and SRAVANTHI KALAL. "Identification and Synthesis of Unstructured Data of Violence on Facebook Using a Mood and Emotion AnalysisSystem" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 4 2023 Page 1596-1599
MLA NIROOP, and SRAVANTHI KALAL. "Identification and Synthesis of Unstructured Data of Violence on Facebook Using a Mood and Emotion AnalysisSystem." International Journal Of Advance Research And Innovative Ideas In Education 9.4(2023) : 1596-1599.
APA NIROOP, & SRAVANTHI KALAL. (2023). Identification and Synthesis of Unstructured Data of Violence on Facebook Using a Mood and Emotion AnalysisSystem. International Journal Of Advance Research And Innovative Ideas In Education, 9(4), 1596-1599.
Chicago NIROOP, and SRAVANTHI KALAL. "Identification and Synthesis of Unstructured Data of Violence on Facebook Using a Mood and Emotion AnalysisSystem." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 4 (2023) : 1596-1599.
Oxford NIROOP, and SRAVANTHI KALAL. 'Identification and Synthesis of Unstructured Data of Violence on Facebook Using a Mood and Emotion AnalysisSystem', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, 2023, p. 1596-1599. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Identification_and_Synthesis_of_Unstructured_Data_of_Violence_on_Facebook_Using_a_Mood_and_Emotion_AnalysisSystem_ijariie21253.pdf (Accessed : ).
Harvard NIROOP, and SRAVANTHI KALAL. (2023) 'Identification and Synthesis of Unstructured Data of Violence on Facebook Using a Mood and Emotion AnalysisSystem', International Journal Of Advance Research And Innovative Ideas In Education, 9(4), pp. 1596-1599IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Identification_and_Synthesis_of_Unstructured_Data_of_Violence_on_Facebook_Using_a_Mood_and_Emotion_AnalysisSystem_ijariie21253.pdf (Accessed : )
IEEE NIROOP, and SRAVANTHI KALAL, "Identification and Synthesis of Unstructured Data of Violence on Facebook Using a Mood and Emotion AnalysisSystem," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, pp. 1596-1599, Jul-Aug 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Identification_and_Synthesis_of_Unstructured_Data_of_Violence_on_Facebook_Using_a_Mood_and_Emotion_AnalysisSystem_ijariie21253.pdf [Accessed : ].
Turabian NIROOP, and SRAVANTHI KALAL. "Identification and Synthesis of Unstructured Data of Violence on Facebook Using a Mood and Emotion AnalysisSystem." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 4 ().
Vancouver NIROOP, and SRAVANTHI KALAL. Identification and Synthesis of Unstructured Data of Violence on Facebook Using a Mood and Emotion AnalysisSystem. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(4) : 1596-1599. Available from: https://ijariie.com/AdminUploadPdf/Identification_and_Synthesis_of_Unstructured_Data_of_Violence_on_Facebook_Using_a_Mood_and_Emotion_AnalysisSystem_ijariie21253.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
PREDICTING GENETIC VARIANTS PATHOGENECITYComputer EngineeringSyed Arbeena Kausar Download
ANDROID MALWARE DETECTION USING MACHINE LEARNING TECHNIQUESCOMPUTER SCIENCE AND ENGINEERINGS. Saiful Islam Download
IMPROVING HEALTHCARE PREDICTION OF DIABETIC PATIENTS USING KNN IMPUTED FEATURES AND TRI-ENSEMBLE MODELCOMPUTER SCIENCE AND ENGINEERINGS. Mahammad Arif Download
MONEY LAUNDERING DETECTION USING MACHINE LEARNING METHODSCOMPUTER SCIENCE AND ENGINEERINGY B. Shashank Raj Download
LEVERAGING SPATIOTEMPORAL PATTERNS FOR CYBER ATTACK DETECTION IN DISTRIBUTION SYSTEMCOMPUTER SCIENCE AND ENGINEERINGV. Kumar Download
Real-Time Heart Disease Prediction Using Machine LearningCOMPUTER SCIENCE AND ENGINEERINGP. Sri Pavan Hari Charan Download
HAND AND FACE LANDMARKS DETECTION USING MEDIA PIPE AND AICOMPUTER SCIENCE AND ENGINEERINGK. V. Bharath Kumar Download
VEHICLES SPEED DETECTION SYSTEM USING OPENCVCOMPUTER SCIENCE AND ENGINEERINGS. Santosh Download
SUSPICIOUS HUMAN ACTIVITY RECOGNITION FROM SURVEILLANCE VIDEOS USING DEEP LEARNINGCOMPUTER SCIENCE AND ENGINEERINGM. Lakshmi kanth Download
DETECTION OF THYROID DISORDERS USING MACHINE LEARNING APPOARCHCOMPUTER SCIENCE AND ENGINEERINGP. Shamiulla Download
Events Recommendation SystemComputer Science and EngineeringDharsana S Download
Online Attendance Using Web ApplicationComputer EngineeringMrs. P. Saranya Download
Automated Pneumonia Detection Using ResNet50 Deep Learning ModelDepartment of Computer Science & Engineering, D.Y.Patil Technical Campus, Shivaji University, KolhapurSohan Sanjay Kamalakar Download
MULTI-DISEASE DETECTION USING MACHINE LEARNINGComputer EngineeringNamithadevi N N Download
NETWORK TRAFFIC ANALYSIS WITH BIG DATA AND DEEP LEARNING TECHNIQUESCOMPUTER SCIENCE AND ENGINEERINGD VYSHNAVI Download
12