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

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'''1. Project Overview
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1.1 Project Description
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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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1.2 Motivation
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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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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.

Revision as of 14:32, 12 September 2020

1. Project Overview

1.1 Project Description

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.

1.2 Motivation

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 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.