Please use this identifier to cite or link to this item:
Authors: CHEN TAO
Keywords: image tweets, microblog, Twitter, Weibo, image-text relation, image semantics
Issue Date: 22-Jan-2016
Citation: CHEN TAO (2016-01-22). ANALYZING IMAGE TWEETS IN MICROBLOGS. ScholarBank@NUS Repository.
Abstract: Social media platforms now allow users to share images alongside their textual posts. These image tweets make up a fast-growing percentage of tweets, but have not been studied in depth unlike their text-only counterparts. Most existing studies on image tweets tackle tasks that are originated from text tweet domain, and their main effort is to incorporate generic image features (e.g., low-level features, deep learning features) to improve the performance of using text-only approaches. In this thesis, we conduct a series of studies to answer four fundamental questions about image tweets: 1) What are the characteristics of image tweets? 2) What are the relationships between the image and text in image tweets? 3) How to model such image-text relationships? and 4) How to interpret the semantics of an image tweet? Answers to these questions will not only help us gain a deep understanding of image tweets and the related user behaviors, but also be beneficial to downstream applications.
Appears in Collections:Ph.D Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
ChenT.pdf8.49 MBAdobe PDF



Page view(s)

checked on Nov 9, 2018


checked on Nov 9, 2018

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.