Difference between revisions of "IS484 AY2020/21 Term 1: The Miners"

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== 1. Project Overview ==
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== 1. Group Introduction ==
  
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=== 1.1 Project Description ===
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=== 1.1 Team Members  ===
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Project Text Mining and Sentiment Analysis is a business analytics project that aims at delivering a system and an interactive dashboard for Citibank. This is done through conducting sentiment analysis on reviews that are in foreign languages.
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! Chen Ziyi !! ziyi.chen.2017@sis.smu.edu.sg !! Project Manager
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1.2 Motivation
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● Chen Ziyi (ziyi.chen.2017@sis.smu.edu.sg ) – Project Manager
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Currently, Citibank has a pre-trained sentiment analysis model specifically designed for English reviews. However, Citibank would like to extend that to non-English reviews as well
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● Nurul Khairina Binte Abdul KADIR (khairinak.2017@smu.edu.sg ) – Deputy Project
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Project Text Mining and Sentiment Analysis will help to add value to Citibank by having a sentiment analysis of those non-English reviews. It allows Citibank to identify the products and services customers most frequently complain about. Upon identifying these weaker offerings, Citibank would be able to further gain insights on the specific areas that are of concern to customers. This subsequently allows them to improve upon these products and services.
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Manager
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● Chew Hui Ling (hlchew.2017@smu.edu.sg ) – IT Lead
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● Wang Zi (zi.wang.2017@smu.edu.sg ) – Data Analytics Lead
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● Tan Chou Leong (cltan.2016@business.smu.edu.sg ) – Quality Assurance

Revision as of 14:41, 12 September 2020

1. Group Introduction

1.1 Team Members

Chen Ziyi ziyi.chen.2017@sis.smu.edu.sg Project Manager
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● Chen Ziyi (ziyi.chen.2017@sis.smu.edu.sg ) – Project Manager ● Nurul Khairina Binte Abdul KADIR (khairinak.2017@smu.edu.sg ) – Deputy Project Manager ● Chew Hui Ling (hlchew.2017@smu.edu.sg ) – IT Lead ● Wang Zi (zi.wang.2017@smu.edu.sg ) – Data Analytics Lead ● Tan Chou Leong (cltan.2016@business.smu.edu.sg ) – Quality Assurance

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