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Analysis on reflective writing using natural language processing and sentiment analysis

Natural Language Processing (NLP) opens up the possibility for a machine to help us human process the vast data out there. There are multiple branches of NLP, but this thesis focuses on sentiment analysis, more specifically for reflective writing analysis. However, to obtain accurate results, NLP mo...

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Main Authors: Chong, Calvin, Sheikh, Usman Ullah, A. Samah, Narina, Sha'ameri, Ahmad Zuri
Format: Conference or Workshop Item
Language:English
Published: 2020
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/92849/1/UsmanUllahSheikh2020_AnalysisonReflectiveWritingUsingNaturalLanguage.pdf
http://eprints.utm.my/id/eprint/92849/
http://dx.doi.org/10.1088/1757-899X/884/1/012069
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spelling my.utm.928492021-10-28T10:18:06Z http://eprints.utm.my/id/eprint/92849/ Analysis on reflective writing using natural language processing and sentiment analysis Chong, Calvin Sheikh, Usman Ullah A. Samah, Narina Sha'ameri, Ahmad Zuri TK Electrical engineering. Electronics Nuclear engineering Natural Language Processing (NLP) opens up the possibility for a machine to help us human process the vast data out there. There are multiple branches of NLP, but this thesis focuses on sentiment analysis, more specifically for reflective writing analysis. However, to obtain accurate results, NLP model needs to be tailored for the specific application. In this thesis, an NLP model is developed to process survey results obtained from psychology course by building a word database and categorise the level of reflection using fuzzy logic system. The main processes involved in this work are mainly performing intensive literature review on reflective writing models and to design fuzzy logic rules which can categorise the various levels of reflection demonstrated by the students. The model is then used to analyse a total of 47 reflective journals collected from the survey responses of the students from the School of Education in UTM. These surveys need to be pre-processed using some tools such as Natural Language Tool Kit (NLTK) to be fed to the developed model. There is the need to build a word database with words specific to the psychology field to improve the accuracy. From the analysis of the students' survey, most of the students exhibit level 1-2 reflection. 2020 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/92849/1/UsmanUllahSheikh2020_AnalysisonReflectiveWritingUsingNaturalLanguage.pdf Chong, Calvin and Sheikh, Usman Ullah and A. Samah, Narina and Sha'ameri, Ahmad Zuri (2020) Analysis on reflective writing using natural language processing and sentiment analysis. In: 2019 Sustainable and Integrated Engineering International Conference, SIE 2019, 8 - 9 December 2019, Putrajaya, Malaysia. http://dx.doi.org/10.1088/1757-899X/884/1/012069
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Chong, Calvin
Sheikh, Usman Ullah
A. Samah, Narina
Sha'ameri, Ahmad Zuri
Analysis on reflective writing using natural language processing and sentiment analysis
description Natural Language Processing (NLP) opens up the possibility for a machine to help us human process the vast data out there. There are multiple branches of NLP, but this thesis focuses on sentiment analysis, more specifically for reflective writing analysis. However, to obtain accurate results, NLP model needs to be tailored for the specific application. In this thesis, an NLP model is developed to process survey results obtained from psychology course by building a word database and categorise the level of reflection using fuzzy logic system. The main processes involved in this work are mainly performing intensive literature review on reflective writing models and to design fuzzy logic rules which can categorise the various levels of reflection demonstrated by the students. The model is then used to analyse a total of 47 reflective journals collected from the survey responses of the students from the School of Education in UTM. These surveys need to be pre-processed using some tools such as Natural Language Tool Kit (NLTK) to be fed to the developed model. There is the need to build a word database with words specific to the psychology field to improve the accuracy. From the analysis of the students' survey, most of the students exhibit level 1-2 reflection.
format Conference or Workshop Item
author Chong, Calvin
Sheikh, Usman Ullah
A. Samah, Narina
Sha'ameri, Ahmad Zuri
author_facet Chong, Calvin
Sheikh, Usman Ullah
A. Samah, Narina
Sha'ameri, Ahmad Zuri
author_sort Chong, Calvin
title Analysis on reflective writing using natural language processing and sentiment analysis
title_short Analysis on reflective writing using natural language processing and sentiment analysis
title_full Analysis on reflective writing using natural language processing and sentiment analysis
title_fullStr Analysis on reflective writing using natural language processing and sentiment analysis
title_full_unstemmed Analysis on reflective writing using natural language processing and sentiment analysis
title_sort analysis on reflective writing using natural language processing and sentiment analysis
publishDate 2020
url http://eprints.utm.my/id/eprint/92849/1/UsmanUllahSheikh2020_AnalysisonReflectiveWritingUsingNaturalLanguage.pdf
http://eprints.utm.my/id/eprint/92849/
http://dx.doi.org/10.1088/1757-899X/884/1/012069
_version_ 1715189699003285504
score 13.211869

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