Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/124157
Title: ANALYZING IMAGE TWEETS IN MICROBLOGS
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.
URI: http://scholarbank.nus.edu.sg/handle/10635/124157
Appears in Collections:Ph.D Theses (Open)

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