Analyzing qualitative feedback using sentiment analysis / Muhammad Mazuan Mahmood

This paper aims to create a system to automated qualitative feedback analysis based on response in the survey. It is a promising technique to analyse the respondent textual responses by saving time and more efficiency than manual tally. This automated system can gain additional useful information to...

Full description

Bibliographic Details
Main Author:	Mahmood, Muhammad Mazuan
Format:	Student Project
Language:	English
Published:	Faculty of Computer and Mathematical Sciences 2017
Subjects:	QA Mathematics Electronic computers. Computer science Interactive computer systems
Online Access:	http://ir.uitm.edu.my/id/eprint/18919/ http://ir.uitm.edu.my/id/eprint/18919/1/PPb_MUHAMMAD%20MAZUAN%20MAHMOOD%20M%20CS%2017_5.pdf

id	uitm-18919
recordtype	eprints
spelling	uitm-189192018-02-05T04:15:47Z http://ir.uitm.edu.my/id/eprint/18919/ Analyzing qualitative feedback using sentiment analysis / Muhammad Mazuan Mahmood Mahmood, Muhammad Mazuan QA Mathematics Electronic computers. Computer science Interactive computer systems This paper aims to create a system to automated qualitative feedback analysis based on response in the survey. It is a promising technique to analyse the respondent textual responses by saving time and more efficiency than manual tally. This automated system can gain additional useful information to instructor performance evaluation from the respondent’s perspective. The survey data were collected from Office of Student Affair based on program organized by them. Using Naïve Bayes technique, the response ware tokenized to single word. Every words called lexicon have their own value. The value of the lexicons were taken from list of AFFIN words. These words have either positive or negative value. Naïve Bayes treat each response as a bag of word. The points for each words are added to get the total point for each response. To get the value of the words, it was compared to the list and take their value. The result was analysed based on the total point for each questions and for overall evaluation. The top five highest point are viewed based on its positivity or negativity. Faculty of Computer and Mathematical Sciences 2017 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/18919/1/PPb_MUHAMMAD%20MAZUAN%20MAHMOOD%20M%20CS%2017_5.pdf Mahmood, Muhammad Mazuan (2017) Analyzing qualitative feedback using sentiment analysis / Muhammad Mazuan Mahmood. [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	QA Mathematics Electronic computers. Computer science Interactive computer systems
spellingShingle	QA Mathematics Electronic computers. Computer science Interactive computer systems Mahmood, Muhammad Mazuan Analyzing qualitative feedback using sentiment analysis / Muhammad Mazuan Mahmood
description	This paper aims to create a system to automated qualitative feedback analysis based on response in the survey. It is a promising technique to analyse the respondent textual responses by saving time and more efficiency than manual tally. This automated system can gain additional useful information to instructor performance evaluation from the respondent’s perspective. The survey data were collected from Office of Student Affair based on program organized by them. Using Naïve Bayes technique, the response ware tokenized to single word. Every words called lexicon have their own value. The value of the lexicons were taken from list of AFFIN words. These words have either positive or negative value. Naïve Bayes treat each response as a bag of word. The points for each words are added to get the total point for each response. To get the value of the words, it was compared to the list and take their value. The result was analysed based on the total point for each questions and for overall evaluation. The top five highest point are viewed based on its positivity or negativity.
format	Student Project
author	Mahmood, Muhammad Mazuan
author_facet	Mahmood, Muhammad Mazuan
author_sort	Mahmood, Muhammad Mazuan
title	Analyzing qualitative feedback using sentiment analysis / Muhammad Mazuan Mahmood
title_short	Analyzing qualitative feedback using sentiment analysis / Muhammad Mazuan Mahmood
title_full	Analyzing qualitative feedback using sentiment analysis / Muhammad Mazuan Mahmood
title_fullStr	Analyzing qualitative feedback using sentiment analysis / Muhammad Mazuan Mahmood
title_full_unstemmed	Analyzing qualitative feedback using sentiment analysis / Muhammad Mazuan Mahmood
title_sort	analyzing qualitative feedback using sentiment analysis / muhammad mazuan mahmood
publisher	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	http://ir.uitm.edu.my/id/eprint/18919/ http://ir.uitm.edu.my/id/eprint/18919/1/PPb_MUHAMMAD%20MAZUAN%20MAHMOOD%20M%20CS%2017_5.pdf
first_indexed	2023-09-18T23:01:28Z
last_indexed	2023-09-18T23:01:28Z
_version_	1777418202264895488

Analyzing qualitative feedback using sentiment analysis / Muhammad Mazuan Mahmood

Similar Items