Building demonstration systems for exploring market competition over topics in spatio-temporal document collections

There is a large amount of spatio-temporal documents were generated from social networks in recent years. These data may help the business owner to assess their business based on popular topics of their brands compared with other brands, since the data may indicate what users think over the produ...

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Main Author: Kurniawan, Timothy Gabriel
Other Authors: Cong Gao
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/77085
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-770852023-03-03T20:42:02Z Building demonstration systems for exploring market competition over topics in spatio-temporal document collections Kurniawan, Timothy Gabriel Cong Gao School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering There is a large amount of spatio-temporal documents were generated from social networks in recent years. These data may help the business owner to assess their business based on popular topics of their brands compared with other brands, since the data may indicate what users think over the products or brands. In this project, we aim to mine the topics and the market competition from spatio-temporal documents within a certain geographical region and time period, and then visualize the result as a web application for demonstration purpose. The mining can be done using the EMart framework [1], which combines CompLDA model for mining topics and Octree-based data structure to divide and combine the spatio-temporal documents to three-dimensional cells. Bachelor of Engineering (Computer Science) 2019-05-06T08:45:21Z 2019-05-06T08:45:21Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77085 en Nanyang Technological University 54 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Kurniawan, Timothy Gabriel
Building demonstration systems for exploring market competition over topics in spatio-temporal document collections
description There is a large amount of spatio-temporal documents were generated from social networks in recent years. These data may help the business owner to assess their business based on popular topics of their brands compared with other brands, since the data may indicate what users think over the products or brands. In this project, we aim to mine the topics and the market competition from spatio-temporal documents within a certain geographical region and time period, and then visualize the result as a web application for demonstration purpose. The mining can be done using the EMart framework [1], which combines CompLDA model for mining topics and Octree-based data structure to divide and combine the spatio-temporal documents to three-dimensional cells.
author2 Cong Gao
author_facet Cong Gao
Kurniawan, Timothy Gabriel
format Final Year Project
author Kurniawan, Timothy Gabriel
author_sort Kurniawan, Timothy Gabriel
title Building demonstration systems for exploring market competition over topics in spatio-temporal document collections
title_short Building demonstration systems for exploring market competition over topics in spatio-temporal document collections
title_full Building demonstration systems for exploring market competition over topics in spatio-temporal document collections
title_fullStr Building demonstration systems for exploring market competition over topics in spatio-temporal document collections
title_full_unstemmed Building demonstration systems for exploring market competition over topics in spatio-temporal document collections
title_sort building demonstration systems for exploring market competition over topics in spatio-temporal document collections
publishDate 2019
url http://hdl.handle.net/10356/77085
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