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 109 for “"media data"”.
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Enabling Approximate Storage through Lossy Media Data Compression
… of the memory subsystem due to their large datasets and need to frequently access memory. RMS applications, such as those in machine learning, deliver intelligent analysis and decision making through their ability to learn, identify, and create complex data models. To meet growing demand for …
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Human Activity Analytics Based on Mobility and Social Media Data
… with their circles of friends. Based on these data, a range of applications and techniques has been developed, targeting to provide a better quality of life to the users. Nevertheless, the quality of results of the geolocationaware applications is signicantly restricted due to the tiny …
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From Post to Policy: Using Social Media Data to Inform Decision-Making
… seek to understand preferences, user-generated data on social media—coupled with advanced methods of Natural Language Processing—can, in certain cases, serve as a valid alternative. In this thesis, I introduce a novel data set of global social media content and present a multilingual algorithmic …
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Data-Driven Park Planning: Comparative Study of Survey with Social Media Data
… of linear parks, (2) to identify social media users’ behaviors in and perceptions of linear parks, and (3) to compare small data with big data. This chapter discusses the main findings and their implications for practitioners such as landscape architects and urban planners. It has three …
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A Taxonomic Framework for the Classification of Wildfire Social Media Data in Canada
… introduces WildFireCan-MMD, a novel multimodal dataset containing annotated posts from X from recent Canadian wildfires across twelve key themes, addressing the need for building cost-effective real-time information systems during wildfire events. It evaluates vision-language models, deep …
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Urban data mining : social media data analysis as a complementary tool for urban design
The emergence of "big data" has resulted in a large amount of information documenting daily events, perceptions, thoughts, and emotions of citizens, all annotated with the location and time that they were recorded. This data presents an unprecedented opportunity to help identify and solve urban …
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Power Centrality as a relational measure of urban hierarchy : testing the splintering urbanism theory with social media data from Santiago de Chile
… of the Power Centrality Measure, applied to a dataset of 242.000 twitter statuses generated by Metro users, while the causal explanation is evaluated by comparing the results with an unbiased sample of 110,000 statuses. Power Centrality allowed the identification of central locations that by …
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Socialinių medijų panaudojimo iššūkiai ir galimybės verslo analitikoje /
… the challenges and opportunities of using social media in business analytics. The aim of the work is to analyze the potential of social media data analytics in various business sectors based on theoretical aspects of social media data analysis, the application of technologies, and the practice of …
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Topics, Events, Stories in Social Media
The rise of big data, especially social media data (e.g., Twitter, Facebook, Youtube), gives new opportunities to the understanding of human behavior. Consequently, novel computing methods for mining patterns in social media data are therefore desired. Through applying these approaches, it has …
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Assessing sentiment in conflict zones through social media
… less well accepted that analysts can use social media analysis to assess sentiment or popular support within the same space. We examine this question by comparing geographically anchored polling and social media data, utilizing over 1.4 million geo-referenced messages sent through the Twitter …
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Visual analytics of location-based social networks for decision support
… crisis events. However, since the volume of the data exceeds the boundaries of human analytical capabilities, it is almost impossible to perform a straightforward qualitative analysis of the data. The emerging field of visual analytics has been introduced to tackle such challenges by integrating …
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Semi-supervised classification of social media posts : identifying sex-industry posts to enable better support for those experiencing sex-trafficking
Social media is both helpful and harmful to the work against sex trafficking. On one hand, social workers carefully use social media to support individuals experiencing sex trafficking. On the other hand, traffickers use social media to groom and recruit individuals into trafficking situations. …
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Sensing Urban Dynamics Through Crowdsourced Data with the Support of Machine Learning Techniques
Crowdsourced data such as social media data, points of interest and geotagged images has attracted the attention of urban researchers, as it provides first-hand information regarding human activities, perception and the interaction with the built environment, helping researchers illuminate a richer …
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Price incentives for online retailers using social media
In the era of Big Data, online retailers have access to a large amount of data about their customers. This data can include demographic information, shopping carts, transactions and browsing history. In the last decade, online retailers have been leveraging this data to build a personalized …
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USING SOCIAL MEDIA AS A DATA SOURCE IN PUBLIC HEALTH RESEARCH
Researchers have increasingly looked to social media data as a means of measuring population health and well-being in a less intrusive and more scalable manner compared to traditional public health data sources. In this dissertation, I outline three studies that leverage social media as a data …
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An Approach For Scalable First-Order Rule Learning On Twitter Data
… approach with graph-based modeling of social media data, to scale up first-order rule learning through Markov Logic Networks on a commodity cluster on large scale Twitter data. SRLearn takes advantage of distributed systems to partition large-scale data into smaller but meaningful partitions …
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The effects of social media use in undergraduate students
… purposes of this study were to see how social media use by undergraduate students affects their academics as well as their social life in college. Participants consisted of undergraduate students at Rowan University aged 18 and older (n=116). In order to obtain data on this topic, students were …
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The twitter citizen : contributing to civil society discussion or adding to the noise?
… popular expression otherwise absent from print media. Data sources included Twitter hashtag communities that formed around the 2013 Alberta Budget and the associated print media coverage. This inquiry found that while diverse actors contribute to the formation of Twitter hashtag communities, the …
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