Evaluation of intra-set clustering techniques for redundant social media content

Simple item page
dc.contributor.authorJubinville, Jason
dc.contributor.supervisorDarcie, Thomas Edward
dc.contributor.supervisorNeville, Stephen William
dc.date.accessioned2018-12-20T01:05:28Z
dc.date.available2018-12-20T01:05:28Z
dc.date.copyright2018en_US
dc.date.issued2018-12-19
dc.degree.departmentDepartment of Electrical and Computer Engineeringen_US
dc.degree.levelMaster of Applied Science M.A.Sc.en_US
dc.description.abstractThis thesis evaluates various techniques for intra-set clustering of social media data from an industry perspective. The research goal was to establish methods for reducing the amount of redundant information an end user must review from a standard social media search. The research evaluated both clustering algorithms and string similarity measures for their effectiveness in clustering a selection of real-world topic and location-based social media searches. In addition, the algorithms and similarity measures were tested in scenarios based on industry constraints such as rate limits. The results were evaluated using several practical measures to determine which techniques were effective.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/10438
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectsocial mediaen_US
dc.subjecttwitteren_US
dc.subjectclusteringen_US
dc.subjectT Informationen_US
dc.subjectJaccarden_US
dc.subjectHammingen_US
dc.subjectT Codesen_US
dc.titleEvaluation of intra-set clustering techniques for redundant social media contenten_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Jubinville_Jason_MASc_2018.pdf
Size:
6.22 MB
Format:
Adobe Portable Document Format
Description:
Complete Thesis
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Electronic Theses and Dissertations (ETD)
Theses (Electrical and Computer Engineering)
 
University of Victoria Libraries

We acknowledge and respect the Lək̓ʷəŋən (Songhees and Esquimalt) Peoples on whose territory the university stands, and the Lək̓ʷəŋən and W̱SÁNEĆ Peoples whose historical relationships with the land continue to this day.