Visualization of public sentiment from crime news in social media / Syairah Ibrahim

Social media has become a sole of our communications and platform for sharing information. Among all the social media, Facebook has become an important platform for news sharing as well as engaging in discussions about a certain topic, issues or events. Through discussions, public expresses their op...

Full description

Bibliographic Details
Main Author:	Ibrahim, Syairah
Format:	Student Project
Language:	English
Published:	Faculty of Computer and Mathematical Sciences 2017
Subjects:	Emotion Programming languages (Electronic computers) Expert systems (Computer science). Fuzzy expert systems
Online Access:	http://ir.uitm.edu.my/id/eprint/21380/ http://ir.uitm.edu.my/id/eprint/21380/1/TD_SYAIRAH%20IBRAHIM%20M%20CS%2017_5.pdf

id	uitm-21380
recordtype	eprints
spelling	uitm-213802018-10-25T01:31:43Z http://ir.uitm.edu.my/id/eprint/21380/ Visualization of public sentiment from crime news in social media / Syairah Ibrahim Ibrahim, Syairah Emotion Programming languages (Electronic computers) Expert systems (Computer science). Fuzzy expert systems Social media has become a sole of our communications and platform for sharing information. Among all the social media, Facebook has become an important platform for news sharing as well as engaging in discussions about a certain topic, issues or events. Through discussions, public expresses their opinions via text and symbols. Sentiments analysis is a research area that studies this data to get public’s opinion, their feelings, and emotions. However, analysing the public emotions can be cumbersome. Further approaches are needed as there are numerous ways for public to express their emotions such as using an emoticon or through text. Hence, many research have been done in analysing sentiments using languages such as English, Chinese, and Arabic. However, there are a limited number of research that analyses and visualize sentiments into an understandable format using Malay language. The aim of this project is to develop a prototype that visualizes sentiments from Facebook comments based on crimes news in Malay. For this purpose, filtering and pre-processing including a hybrid approach is implemented to categorize the sentiments for better accuracy while a word cloud is used for visualizing the sentiments. The sentiment analysis is conducted using hybrid approach, a combination of machine learning approach and lexicon based approach with the addition of dictionary based approach and Naïve Bayes as trained classifier. The system managed to successfully classify and visualize the sentiments using word cloud. Future research towards the system can be done by expanding the emotion database using formally language. Faculty of Computer and Mathematical Sciences 2017 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/21380/1/TD_SYAIRAH%20IBRAHIM%20M%20CS%2017_5.pdf Ibrahim, Syairah (2017) Visualization of public sentiment from crime news in social media / Syairah Ibrahim. [Student Project] (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Emotion Programming languages (Electronic computers) Expert systems (Computer science). Fuzzy expert systems
spellingShingle	Emotion Programming languages (Electronic computers) Expert systems (Computer science). Fuzzy expert systems Ibrahim, Syairah Visualization of public sentiment from crime news in social media / Syairah Ibrahim
description	Social media has become a sole of our communications and platform for sharing information. Among all the social media, Facebook has become an important platform for news sharing as well as engaging in discussions about a certain topic, issues or events. Through discussions, public expresses their opinions via text and symbols. Sentiments analysis is a research area that studies this data to get public’s opinion, their feelings, and emotions. However, analysing the public emotions can be cumbersome. Further approaches are needed as there are numerous ways for public to express their emotions such as using an emoticon or through text. Hence, many research have been done in analysing sentiments using languages such as English, Chinese, and Arabic. However, there are a limited number of research that analyses and visualize sentiments into an understandable format using Malay language. The aim of this project is to develop a prototype that visualizes sentiments from Facebook comments based on crimes news in Malay. For this purpose, filtering and pre-processing including a hybrid approach is implemented to categorize the sentiments for better accuracy while a word cloud is used for visualizing the sentiments. The sentiment analysis is conducted using hybrid approach, a combination of machine learning approach and lexicon based approach with the addition of dictionary based approach and Naïve Bayes as trained classifier. The system managed to successfully classify and visualize the sentiments using word cloud. Future research towards the system can be done by expanding the emotion database using formally language.
format	Student Project
author	Ibrahim, Syairah
author_facet	Ibrahim, Syairah
author_sort	Ibrahim, Syairah
title	Visualization of public sentiment from crime news in social media / Syairah Ibrahim
title_short	Visualization of public sentiment from crime news in social media / Syairah Ibrahim
title_full	Visualization of public sentiment from crime news in social media / Syairah Ibrahim
title_fullStr	Visualization of public sentiment from crime news in social media / Syairah Ibrahim
title_full_unstemmed	Visualization of public sentiment from crime news in social media / Syairah Ibrahim
title_sort	visualization of public sentiment from crime news in social media / syairah ibrahim
publisher	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	http://ir.uitm.edu.my/id/eprint/21380/ http://ir.uitm.edu.my/id/eprint/21380/1/TD_SYAIRAH%20IBRAHIM%20M%20CS%2017_5.pdf
first_indexed	2023-09-18T23:06:25Z
last_indexed	2023-09-18T23:06:25Z
_version_	1777418513487495168

Visualization of public sentiment from crime news in social media / Syairah Ibrahim

Similar Items