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Toxic friend detector

This project is an AI design project for sentiment analysis purpose. Sentiment Analysis is the mathematically and computational study on behalf of individual attitudes, opinions and emotions expressed in written language. This research areas in natural processing, sentiment analysis and some related...

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Bibliographic Details
Main Author:	Lai, Xuan Ying
Format:	Final Year Project / Dissertation / Thesis
Published:	2022
Subjects:	T Technology (General)
Online Access:	http://eprints.utar.edu.my/4695/1/fyp_CS_2022_LXY.pdf http://eprints.utar.edu.my/4695/
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id	my-utar-eprints.4695
record_format	eprints
spelling	my-utar-eprints.46952023-01-15T13:50:59Z Toxic friend detector Lai, Xuan Ying T Technology (General) This project is an AI design project for sentiment analysis purpose. Sentiment Analysis is the mathematically and computational study on behalf of individual attitudes, opinions and emotions expressed in written language. This research areas in natural processing, sentiment analysis and some related topic model can be measured to handle some challenging tasks like automatic personality recognition. Influence to execute he Big Five Factors Dimensions personality facets brings incremental clause in prediction the content outcomes. Several methods of natural language processing will deploy for text processing such as tokenization, POS, stemming and so on based on the input data context given. Beginning from fundamental elements of natural language processing, the outlines will keep leading o the sentiment analysis of classification. Relative to the sentiment analysis-based approach, the Lexicon-based method and machine learning: Logistic Regression, is implemented throughout the project. For some precious studies, the diversity of effects and social colorations are measured and the relationship between the personality and emotions model and the personality trait will be analysed and executed. The outcomes results will demonstrate the personality tracking that prediction and identification of the people based on the following techniques and methods which are mentioned in this project. The platform is a web-based application to retrieve the data and show the emotions or the personality of an individual as a result of prediction a toxic people. 2022-09-09 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/4695/1/fyp_CS_2022_LXY.pdf Lai, Xuan Ying (2022) Toxic friend detector. Final Year Project, UTAR. http://eprints.utar.edu.my/4695/
institution	Universiti Tunku Abdul Rahman
building	UTAR Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tunku Abdul Rahman
content_source	UTAR Institutional Repository
url_provider	http://eprints.utar.edu.my
topic	T Technology (General)
spellingShingle	T Technology (General) Lai, Xuan Ying Toxic friend detector
description	This project is an AI design project for sentiment analysis purpose. Sentiment Analysis is the mathematically and computational study on behalf of individual attitudes, opinions and emotions expressed in written language. This research areas in natural processing, sentiment analysis and some related topic model can be measured to handle some challenging tasks like automatic personality recognition. Influence to execute he Big Five Factors Dimensions personality facets brings incremental clause in prediction the content outcomes. Several methods of natural language processing will deploy for text processing such as tokenization, POS, stemming and so on based on the input data context given. Beginning from fundamental elements of natural language processing, the outlines will keep leading o the sentiment analysis of classification. Relative to the sentiment analysis-based approach, the Lexicon-based method and machine learning: Logistic Regression, is implemented throughout the project. For some precious studies, the diversity of effects and social colorations are measured and the relationship between the personality and emotions model and the personality trait will be analysed and executed. The outcomes results will demonstrate the personality tracking that prediction and identification of the people based on the following techniques and methods which are mentioned in this project. The platform is a web-based application to retrieve the data and show the emotions or the personality of an individual as a result of prediction a toxic people.
format	Final Year Project / Dissertation / Thesis
author	Lai, Xuan Ying
author_facet	Lai, Xuan Ying
author_sort	Lai, Xuan Ying
title	Toxic friend detector
title_short	Toxic friend detector
title_full	Toxic friend detector
title_fullStr	Toxic friend detector
title_full_unstemmed	Toxic friend detector
title_sort	toxic friend detector
publishDate	2022
url	http://eprints.utar.edu.my/4695/1/fyp_CS_2022_LXY.pdf http://eprints.utar.edu.my/4695/
_version_	1755876969089597440
score	13.211869

Toxic friend detector

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