IS428 2018 19T1 Group11 Proposal

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PROPOSAL

POSTER

APPLICATION

RESEARCH PAPER

Version 1 | Version 2

INTRODUCTION

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MOTIVATION

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OBJECTIVES

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1. Number 1
2. Number 2

DATA SOURCE

"Where our data came from"

Data Source
Data used is obtained from web scraping of various social media platforms such as Instagram, Twiiter, Reddit and Google Playstore.
The data set consists of 9000 comments that were scraped and collected.

Data Attributes
The following is a snapshot of the data collected, and a description of the data attributes:

Figure 1: Comments Dataset

Figure 2: Inter-topic Distance Map split into Clusters based on Coherence Values

Data Attributes	Description of attributes
Document	Comments scraped may consist of more than a sentence each. They are hence separated and identified by documents. Hence, a document represents a sentence of comment.
Dominant_Topic	Dominant topic refers to the cluster that the topic will most likely be sorted into.
Topic_Perc_Contrib	The probability that the comment will be found in the cluster amongst all other comments with similar keywords.
Keywords	Keywords that can be found in the specific cluster.
Text	Words in each comment after the removal of stop words (eg. the, is, to, on etc).
Original_Comment	Original comment sentence that was scraped.
Date	Date that the comment was posted.

BACKGROUND SURVEY OF RELATED WORKS

Related Works	What We Can Learn
Grab Traffic Trends "Insert Image here" Source: "Insert source here"	Learning 1 Learning 2 Learning 3
Another Graph "Insert Image here" Source: "Insert source here"	Learning 1 Learning 2 Learning 3

STORYBOARD

Sketches	Description of Approach
Sketch 1 "Insert Image here" Source: "Insert source here"	Approach 1 Approach 2 Approach 3
Sketch 2 "Insert Image here" Source: "Insert source here"	Approach 1 Approach 2 Approach 3

PROPOSED VISUALISATION

???? Write what???? halps

KEY TECHNICAL CHALLENGES

• Challenge 1
• Challenge 2
• Challenge 3

PROJECT TIMELINE

"Insert Gantt Chart"

REFERENCES

"Insert Links and Description"

COMMENTS

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