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King Mongkut’s University of Technology Thonburi Industrial Training Report Academic Year 2017 June 4 th July 27 th 2018 Ms. Chayanee Choopaiboon Student ID: 58130500206 School of Information Technology B.Sc. Computer Science Company’s Name: Kobe University Workplace Supervisor: Prof. Seiichi Ozawa SIT Advisor: Assoc. Prof. Dr. Jonathan Hoyin Chan Address: 1-1, Rokkodai-cho, Nada-ku, Kobe-shi 657-8501, Japan Telephone Number: +81(0)78-803-6350 E-mail: [email protected]

Ms. Chayanee Choopaiboon Student ID: 58130500206 School of ... · King Mongkut’s University of Technology Thonburi Industrial Training Report Academic Year 2017 June 4th th– July

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Page 1: Ms. Chayanee Choopaiboon Student ID: 58130500206 School of ... · King Mongkut’s University of Technology Thonburi Industrial Training Report Academic Year 2017 June 4th th– July

King Mongkut’s University of Technology Thonburi

Industrial Training Report

Academic Year 2017

June 4th – July 27th 2018

Ms. Chayanee Choopaiboon

Student ID: 58130500206

School of Information Technology

B.Sc. Computer Science

Company’s Name: Kobe University

Workplace Supervisor: Prof. Seiichi Ozawa

SIT Advisor: Assoc. Prof. Dr. Jonathan Hoyin Chan

Address: 1-1, Rokkodai-cho, Nada-ku, Kobe-shi 657-8501, Japan

Telephone Number: +81(0)78-803-6350

E-mail: [email protected]

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Executive Summary

This report describes the internship or exchange program I undertook at Faculty

of Engineering, Kobe University. Kobe University was established in Japan since 1949

and have achieve a global standard of research in the humanities and social sciences with

the world class advances technologies in collaboration with overseas universities and

research institutes. The objective of the internship is to provide students with a real IT

workplace experience and gain knowledge through hands-on observation and job

execution.

The reports presents the major tasks completed during my summer internship at

Kobe University. I was assigned to the ES5 Laboratory. There is one project I worked on

in this program. The project I participated in required the programming skill to process

and dig into deep data, and included research and design of a model to show the relation

and value of the information.

I had the opportunity to learn, practice, and gain unforgettable experience at Kobe

University. I have learned many necessary things and acquired knowledge related to IT

career in the fields of Data Scientist. This internship also taught me how to be responsible

in conducting tasks and be able to learn new things. Therefore, I gain confident to be able

to work as a data analysis.

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Acknowledgments

The exchange program opportunity I had with Faculty of Engineering, Kobe University

was a great chance for learning and professional development. During 40 days of internship, I

learnt a lot of computer science, especially on machine learning and data mining. I am also

grateful for having a chance to meet many wonderful people and professionals who led me

though this internship period.

I express my sincere gratitude to Prof. Seiichi Ozawa, Professor of Center for

Mathematical and Data Sciences, Mr. Samuel Ndichu, Ph.D. student, Mr.Kazuki Omura,

master degree student in ES5 laboratory for their guidance and encouragement in carrying out

this project work.

I choose this moment to acknowledge my advisor Assoc. Prof. Dr. Jonathan Hoyin Chan,

Mrs. Kanokwan Suwantavatoop, and Ms. Sachiko Hoshimoto for his/her support throughout

my internship. Without their strong support, sincere helpfulness and encouragement, I will not

successful in this exchange program.

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Table of Contents

Executive Summary …………………………………………………………………… ii

Acknowledgements …………………………………………………………………… iii

Table of Contents ……………………………………………………………………... iv

List of Figures ………………………………………………………………………… v

1. Introduction ………………………………………………………………………… 1

1.1 Overview ………………………………………………………………….. 1

1.2 My internship Objectives …………………………………………………. 1-2

2. Internship Organization……………………………………………………………... 3

2.1 University Overview and Background of the Organization……………….. 3

2.2 Kobe University Location………………………………………………….. 4

3. Tasks, Projects, Activities…………………………………………………………… 5

3.1 Internship Task Background……………………………………………….. 5

3.2 Assignments………………………………………………………………... 6-9

3.3 Special Activities………………………………………………………... 10-11

4. Conclusions………………………………………………………………………….. 12

4.1 Internship Experience Summary…………………………………………… 12

4.2 Internship Personal Experience Summary…………………………………. 12

5. Recommendation……………………………………………………….……………. 13

5.1 Internship Recommendation for SIT……………………………………….. 13

5.2 Recommendation for Internship Organization……………………………... 13

References………………………………………………………………………………. 14

Appendix………………………………………………………………………………... 15

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List of Figures

Figure 2.1: How to go to the Nearest Airport…………………………………………… 4

Figure 2.2: How to go to the Nearest Station……………………………………………. 4

Figure 3.1: Learn to Draw Graph via Spyder……………………………………………. 6

Figure 3.2: Stream Twitter Data via Spyder……………………………………………....7

Figure 3.3: Counting the Number of Tweets I’ve Collected………………………………7

Figure 3.4: TextBlob Analysis the Polarity of Tweets…………………………………… 8

Figure 3.5: The Result Graph about Hate Speech Topic………………………………… 8

Figure 3.6: Presentation Day…………………………………………………………….. 9

Figure 3.7: Farewell BBQ Party at Kobe University…………………………………… 10

Figure 3.8: Sake Brewing Factory……………………………………………………… 11

Figure 3.9: Farewell Ceremony and Giving Certificate………………………………… 11

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Chapter 1: Introduction

1.1 Overview

An internship, which has to be carried out outside the university, is a part of

Computer Science curriculum of the School of Information Technology, KMUTT.

For me, this was a great opportunity to go out of my comfort zone and apply my

knowledge in a practical environment and to increase my capabilities. I commence the

report with my own objectives: the outcomes I hope to achieve from the internship. Then

the report gives an overview of the internship activities that I worked on during my

internship, from June 4th 2018 to July 27th 2018, at ES5 Laboratory, Faculty of

Engineering, Kobe University. My supervisor was Prof. Seiichi Ozawa, and my working

hours were from 10am – 7pm Monday to Friday.

The first part of the report presents background of the university, then an outline

of all the duties carried out during this time. I worked on one major project. The

conclusions section provides a summary of key conclusions derived from my internship

experience. Finally, based on my experience I offer recommendations to both the School

of Information Technology and my internship provider (ES5 Laboratory).

1.2 My internship Objectives

I want to relate and apply the academic theory that I have learned at SIT to the

work environment. Specifically, the following:

Data Mining

Machine Learning

Mathematical and Statistical

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I hope to have the opportunity to develop the following work related skills:

Creativity Thinking and Problem Solving

Good communication skills including listening and speaking

Personal and career development skills

I wish to develop my interpersonal, or soft skills, to fit with the organization’s

culture to help me work well with others by:

Observing how Japanese dress and speak in a workplace setting

Observing how they interact with each other

Observing how they decorate their workplace setting

Practicing my ability to cope with change and adapt

Developing a positive attitude towards obstacles challenges and a

willingness to take personal responsibility

Learning their working behavior to adapt with my project

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Chapter 2: Internship Organization

2.1 University Overview and Background of the Organization

Formally established in 1949, Kobe University is a national university based in

western Japan. Its roots date back further, to 1902, when it was originally known as Kobe

Higher Commercial School. Today, Kobe University is one of Japan’s leading

comprehensive universities with 10 faculties and schools, 15 graduate schools and a great

number of research centers and institutions.

Taking advantage of our traditional strengths in the social sciences combined with

more recent initiatives across the natural and biomedical sciences, Kobe University is

promoting interdisciplinary research and education to become an outstanding research

university. Kobe University is committed to creating knowledge and new values to

address the challenges facing our society

Kobe University, working in a spirit of integrity, freedom, and cooperation in

keeping with its open and cosmopolitan culture and environs, aims to contribute to the

global community through the creation of knowledge founded on universal values and the

fostering of rich understanding and strong leadership skills [1].

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2.2 Kobe University Location

Figure 2.1: How to go to the Nearest Airport

Figure 2.2: How to go to the Nearest Station

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Chapter 3: Tasks, Projects, and Activities

3.1 Internship Task Background

My tasks and assignments during this internship was exchange research student.

The unit that I was interned with was ES5 Laboratory. My responsibilities can be

described as follows:

Data Scientist

Selecting features, building and optimizing classifiers using machine learning

techniques

Data mining using state-of-the-art methods

Enhancing data collection procedures to include information that is relevant for

building analytic systems

Processing, cleansing, and verifying the integrity of data used for analysis

Doing analysis and presenting results in a clear manner

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3.2 Assignments

During the internship, Professor Ozawa asked me what I interest to do and apply

my data mining skills with. He gave me three examples of the case study to read. To

working in this area, he suggested me to use Python to extract and evaluate the raw data.

On the first and second weeks of internship, I spent a lot of time learning Python and how

to make a graph via Spyder (tool for writing Python code).

Figure 3.1: Learn to Draw Graph via Spyder

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I decided the topic of my research project was Detecting Hate Speech on Twitter.

I have talked and discussed with Professor Ozawa. After he approved my topic, he told

me to streaming Twitter data as soon as possible. The keyword searched for was “Hate

speech” from July 6th –July 14th.

Figure 3.2: Stream Twitter Data via Spyder

Figure 3.3: Counting the Number of Tweets I’ve Collected

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After I have completed streaming the raw data from Twitter, I had to process and

cleansing data to look up for the relevant and relation of information. I used TextBlob

module to analysis the polarity of the contents that have been tweeted.

Figure 3.4: TextBlob Analysis the Polarity of Tweets

Then I plot a graph by filter most of the headling that have been used in this “Hate

Speech” topic.

Figure 3.5: The Result Graph about Hate Speech Topic

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After I finished doing my research, I have to present to the students in ES5 lab

and professor in the faculty. In this event, students in the ES5 lab have to present their

work to other students in the lab too. I was listening project of those students, their have

different way to do their project.

Figure 3.6: Presentation Day

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3.3 Special Activities

The students in ES5 lab have dinner for say goodbye and thank you for hard

working to me, my friends, and other international students. It is the last event for us in

this internship. The farewell BBQ party held at the central garden in Kobe University.

Figure 3.7: Farewell BBQ Party at Kobe University

Kobe University also arrange a Summer School 23rd July- 27th July, an event allows

international student to learn and find their inspiration for the future. I have learnt about

many engineering side and the Japanese culture from this event.

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Figure 3.8: Sake Brewing Factory

Figure 3.9: Farewell Ceremony and Giving Certificate

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Chapter 4: Conclusions

4.1 Internship Experience Summary

The past two months of my internship have been very instructive for me. Kobe

University has offered me opportunities to learn and develop myself in many areas and

achieve my training objectives. A lot of activities that I have worked on during my

internship were familiar with what I have studied at SIT. Many tasks though, such as

programming, coding, interpersonal skills that were new to you. Participating and

learning new skills, both hard and soft, has given me a chance to find out which areas I

want to work in after complete my degree.

4.2 Internship Personal Experience Summary

Exchange research student program at Kobe University brings me great

opportunities to practice our language, study new language from quality university as

well as learn Japanese culture. I got friends from many countries such as Japanese,

Australia, Korea, Vietnam, and etc. Moreover, not only learn in the classroom, we have

the chance to travel around Japan such as Kobe, Osaka, Kyoto, and Himeji. To visit many

cities that contain various cultures make us understand the wider world with open eyes

and open mind. I learn to survive in a foreign country. Thus this internship program at

Kobe University is the good experience and adventure that I ever met.

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Chapter 5: Recommendations

5.1 Internship Recommendation for SIT

The part that I found most interesting during my internship at Kobe University is

Streaming data from the social media. I think that recently people use many kind of social

media to express their feeling, news, etc. After done this project, I have learnt the

importance of using social media though collecting the data and evaluate it. I recommend

SIT student to take Data Science or Data Mining course before, since I’ve used all the

basic skill for Data Mining to process the data.

5.2 Recommendation for Internship Organization

Kobe University is a great and facilitate laboratory for intern. The Professor and

students in ES5 laboratory really good to me and teach me to improve my programming

skills. I would recommend this internship opportunity to future SIT Computer Science

seniors.

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References

[1] Prof. Seiichi Ozawa

Center for Mathematical and Data Sciences, Kobe University

1-1, Rokkodai-cho, Nada-ku, Kobe-shi 657-8501, Japan

Telephone Number: +81(0)78-803-6350

E-mail: [email protected]

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Appendix