Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 22 for “"Microblogs"”.
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Semantic Sentiment Analysis of Microblogs
Microblogs and social media platforms are now considered among the most popular forms of online communication. Through a platform like Twitter, much information reflecting people's opinions and attitudes is published and shared among users on a daily basis. This has recently brought great …
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The young nostalgics: contemporary constructions of "pastness" on Tumblr microblogs
This thesis analyses contemporary constructions of "pastness", as nostalgically expressed by an online community on the popular microblogging platform Tumblr. Drawing on original ethnographic and semiotic work, as well as on a wide range of sources centred on its medical past and subsequent …
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Modelling fashion microblogs to increase the influence of social media marketing in Ireland and China
… ten Chinese fashion microblogging influencers’ microblogs using Text Mining and Netnography. By this comparison, the study finds a current model of how fashion microblogs influence fashion consumption in Ireland and China. With the help of this model, the study proposes a typology of Irish and …
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ASPECT-BASED OPINION MINING OF PRODUCT REVIEWS IN MICROBLOGS USING MOST RELEVANT FREQUENT CLUSTERS OF TERMS
… Framework have been proposed to perform ABOM on microblogs. However, the accuracy of these techniques are easily affected by spam posts and buzzwords. In this thesis we address this problem of removing noisy aspects in ABOM by proposing an algorithm called Microblog Aspect Miner (MAM). MAM …
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An exploratory study of the use of classroom blogs to improve student writing
… Frame theory as a platform for creating the microblogs and grading rubric. This qualitative case study examined six microblog work samples from six eighth grade students. The writing was analyzed to determine how the students’ writing changed while using the microblog tool. Additionally, this …
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The Rise of China's Hacking Culture: Defining Chinese Hackers
… government white papers, legal codes, blogs and microblogs, a wide array of materials from the darker corners of the online world, and many other materials. The work will begin to sketch for the reader some of the general and specific aspects of the shadowy world of cybercrime and hacker culture …
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Decoding Identity Through Text-based Human Micro-expressions: A Novel Approach in Social Behavioral Biometrics
… using an original technique that turns users’ microblogs into emotion signals. The Dynamic Time Warping (DTW) algorithm is utilized to facilitate the process of emotion-progression feature extraction across OSN users’ emotion signals trajectories. Then, a unimodal SBB system based on the …
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Predicting the Outcomes of Important Events based on Social Media and Social Network Analysis
… and analyses sentimental information from microblogs to predict the popularity of candidates. Experimental results have shown its advantages over the existing method for predicting outcomes of politic events. The second proposed method is to predict election results based on Twitter data …
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Corporate blogging and microblogging : an analysis of dialogue, interactivity and engagement in organisation-public communication through social media
Corporate blogs and microblogs are social media channels created by and on behalf of organisations. Social media channels are designed to be collaborative, dialogic and participatory (Flew 2008; Kaplan & Haenlein 2010; Logan 2010) based on their technological capabilities like networking (Flew …
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Outeurskapidentifikasie en mikroblogs : 'n eksploratiewe forensiese analise in 'n digitale era
… are identifiable in the Afrikaans used in microblogs. Finally, this study proposes a process that can be used to identify the authors of microblogs.
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FINE-GRAINED EMOTION DETECTION IN MICROBLOG TEXT
… recognize emotions in a particular kind of text, microblogs, has important applications in sentiment analysis and affective computing. In order to build computational models that can recognize the emotions represented in tweets we need to identify a set of suitable emotion categories. Prior work …
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Advancing landscape sustainability science using scalable spatio-temporal landscape analytics with big data and machine learning
… multiple places and scales. Using geotagged microblogs and deep-learning sentiment models in Shanghai, Study 1 links park accessibility and biophysical qualities to expressed happiness, providing spatially explicit evidence for design and park planning. Study 2 examines the COVID-19 period …
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From Underground to Elite: Egyptian Bloggers before and after the 2011 Uprising
… the independence and freedom of the blogs and microblogs. The research uses a comparative study to assess how those changes affect prominent versus less prominent bloggers and compare their backgrounds. The study uses quantitative content analysis and framing analysis of chosen media outlets …
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Vídeo currículo em gestão de recursos humanos
… discussão e opinião, através de blogs (weblogs, microblogs, fotoblogs, videoblogs), comunidades virtuais, grupos de interesse, organização e classificação de conteúdos, e muitas outras formas de utilização de tecnologias online, para interacção e partilha de informação. Em todos estes meios, tem …
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Recommending access control decisions to social media users
… platforms such as social media sites, blogs and microblogs at their disposal on which they can create and consume content as well as have the opportunity to interact with other users. This change has also led to several well documented privacy problems for the users. The privacy problems faced by …
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Deep Learning for Unstructured Data by Leveraging Domain Knowledge
… emerging disasters. We propose to use unlabeled microblogs to cluster words into a limited number of clusters and use the word clusters as features for tweets discovery. Our results indicate that when the number of labeled tweets is 100 or less, the proposed approach is superior to the standard …
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Large Scale Online Aggregation Via Distributed Systems
… for analysis. From web pages to emails to microblogs, text-based data are everywhere. However, not all electronically-available natural language corpora are text-based. In my thesis, I consider the problem of learning topic models over spoken language. My work is motivated by our …
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A Large Collection Learning Optimizer Framework
… media portals (e.g., social network sites and microblogs). One such example of social media is the microblogging site Twitter. Twitter is known for its high level of activity during live events, natural disasters, and events of global importance. Challenges with the data in the Twitter universe …
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