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 14 of 14 for “"social media text"”.
-
Content modeling for social media text
… These tasks have been well studied in the context of newswire documents, but the informal and colloquial nature of social media poses significant new challenges. The key idea behind our approach is to automatically induce the content structure of individual documents given a large, noisy …
-
Utilization of Natural Language Processing for Extracting Smart Cities Requirements from Large Social Media Text
… useful can be seen in the articles they post on social media. One method for determining the performance of urban services and assets for citizens is paying attention to these data generated by the residents. In this regard, we need to examine datasets wherein writing is the primary form of …
-
Joint analysis of user-generated content and product information to enhance user experience in e-commerce
… user-generated content includes user reviews and social media text data, and product information includes product descriptions and product specifications in general. This dissertation aims at assisting e-commerce users in two directions: discovering products and making purchase decisions. To help …
-
Design and development of a machine learning-based framework for phishing website detection
Phishing is a social engineering cyber attack to steal personal information from users. Attackers solicit individuals to click phishing links by sending them emails or social media text messages with deceptive content. With the development and applications of machine learning technology, solutions …
-
The Real Virtual World: Connectivity and Techno-mediation in the Lives of College Students
… dissertation examines the way in which techno-mediated communication technologies, such as social media, text messaging, and virtual communities are used to negotiate, establish and maintain interpersonal relationships among college students. Using in-depth interview and online participant …
-
Multi-level Methods for Estimating Community Language from Social Media with User and Community Sociodemographics
Nowcasting based on social media text promises to provide unobtrusive near real-time predictions of community-level outcomes ranging from subjective well-being and physical health to personality and opioid use. Early methods for predicting outcomes from community-level language, e.g., Twitter, …
-
Understanding misinformation on Twitter in the context of controversial issues
Social media is slowly supplementing, or even replacing, traditional media outlets such as television, newspapers, and radio. However, social media presents some drawbacks when it comes to circulating information. These drawbacks include spreading false information, rumors, and fake news. At least …
-
Advancing landscape sustainability science using scalable spatio-temporal landscape analytics with big data and machine learning
… human experience with ecosystem performance. Social and ecological data however, rarely align spatially or temporally; social-behavioral data can be highly localized, event-based, and rapidly changing, while ecological data can be coarser, slower to update, and collected at varying scales. The …
-
Incorporate Out-of-Vocabulary Words for Psycholinguistic Analysis using Social Media Texts - An OOV-aware Data Curation Process and a Hybrid Approach
<p>Massive user generated social media texts (SMT) posits new opportunities as well as challenges for psycholinguistic analysis to understand individual differences such as personality. SMT are often written in an informal way, and thus contain lexical variants such as nonstandard spellings, …
-
Assessing interests using social media
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-08-01
-
Data quality in the deep learning era: Active semi-supervised learning and text normalization for natural language understanding
… is also equally important. Particularly for social media, (the most abundant source of raw data nowadays) informal writing can cause several bottlenecks. For example, most Information Extraction (IE) tools rely on accurate understanding of text and struggle with the noisy and informal nature …
-
A fuzzy logic-based text classification method for social media
Social media offer abundant information for studying people’s behaviors, emotions and opinions during the evolution of various rare events such as natural disasters. It is useful to analyze the correlation between social media and human-affected events. This study uses Hurricane Sandy 2012 related …
-
Social media analytics with applications in disaster management and COVID-19 events
"Social media such as Twitter offers a tremendous amount of data throughout an event or a disastrous situation. Leveraging social media data during a disaster is beneficial for effective and efficient disaster management. Information extraction, trend identification, and determining public …
-
THE 2019 EP ELECTION CAMPAIGN AS SEEN FROM TWITTER
… European democracy, as they took place in a context of significant challenges and upheavals, including the aftermath of the economic and financial crisis that had impacted the EU in the preceding decade, the refugee crisis that had tested the EU's capacity to manage migration and asylum, and the …