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.
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Showing 1 to 20 of 225 for “"Tweets"”.
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Clustering Tweets via Tweet Embeddings
… where users interact through follows and tweets. This work explores computational methods of analyzing tweets with regards to understanding users and their interests. We consider various embedding models to produce tweet embeddings, which we then use to cluster the tweets, forming groups …
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Affective analysis of text in tweets
… computing in short texts, in particular, tweets. With the evolution of social media in the recent years, there has been a rapid growth of interactions that take occur online, which are expressive in terms of emotion. Internet users today have several diverse methods of being expressive …
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Analysis of Moving Events Using Tweets
… Laboratory (DLRL) has collected over 3.5 billion tweets on different events for the Coordinated, Behaviorally-Aware Recovery for Transportation and Power Disruptions (CBAR-tpd), the Integrated Digital Event Archiving and Library (IDEAL), and the Global Event Trend Archive Research (GETAR) …
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Classification of Clinical Tweets Using Apache Mahout
… popularity, every day large amount of clinical tweets are posted on this microblogging service platform. One interesting problem we face today is the classification of clinical tweets so that the classified tweets can be readily consumed by new healthcare applications. While there are several …
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Geo-Locating Tweets with Latent Location Information
… (GETAR) project, we collected over 1.4 billion tweets using over 1,000 keywords, key phrases, mentions, or hashtags, starting from 2009. Since many tweets talk about events (with useful location information), such as natural disasters, emergencies, and accidents, it is important to geo-locate …
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Pandemic perceptions: analyzing sentiment in COVID-19 tweets
… and comparing the response patterns displayed by tweets from influential individuals and organizational accounts. To meet the research goals, we gathered a large dataset of COVID-19-related Tweets during the pandemic, which was then meticulously manually annotated. In this work, task-specific …
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Arcana: Private tweets on a public microblog platform
… users increasingly realize the vulnerability of tweets and have reservations of showing certain tweets to different follower groups, such as colleagues, friends and other followers. However, Twitter does not offer enough privacy protection or access control functions. Users can just set an …
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A Framework for Hadoop Based Digital Libraries of Tweets
… Laboratory (DLRL) has collected over 1.5 billion tweets for the Integrated Digital Event Archiving and Library (IDEAL) and Global Event Trend Archive Research (GETAR) projects. Researchers across varying disciplines have an interest in leveraging DLRL's collections of tweets for their own …
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Ontologia de Twitter : El primer pas per inferir informació dels tweets
… una aplicació per poblar l'ontologia amb els tweets que s'obtenen a partir d'una cerca a Twitter. L'accés a Twitter es fa via l'API que ofereix per accedir a les dades des d'aplicacions de tercers. El resultat de l'execució de l'aplicació és un fitxer RDF/XML amb les tripletes corresponents a …
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The Insignificance of Feature Frequency in Classifying Gender of Twitter Tweets
… a task, but this thesis shows that for Twitter tweets it either does not contribute significantly to gender classification or hinders classification.
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Describing Trail Cultures through Studying Trail Stakeholders and Analyzing their Tweets
… cultures by analyzing an extensive collection of tweets (over 1.5 million). We used topic modeling to identify the topics described by the communities of Triple Crown trails. We labeled training data for a classifier that identifies tweets relating to depreciative behaviors on the trail. Then, we …
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Mapping corruption in Brazil: An analysis of the news portals and tweets (X)
… in articles from news portals and public tweets by Brazilians. The work aim to analyze how corruption was represented through these two forms of communication during the Covid-19 pandemic. By specifically considering the interactions between the media, we aim to explore the differences, …
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The role of approximate negators in modeling the automatic detection of negation in tweets
… styles not yet explored. Using a corpus of 6,500 tweets, human annotation allowed for the identification of 17 recurrent usages of these words as negatives (such as “very seldom”) which, along with findings from the literature, helped engineer specific features that guided a machine learning …
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Political Speech on Twitter: A Sentiment Analysis of Tweets and News Coverage of Local Gun Policy
… as a method, the study examined 354 gun-related tweets downloaded from the Twitter accounts of three Arkansas politicians (Charlie Collins, Denise Garner, and Greg Leding) and 40 news articles about gun policy involving these politicians from three local newspapers. </p> <p>The results indicated …
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Mining brand-related tweets for brand monitoring with consumer-based brand equity classification and sentiment analysis
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms
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This Is What a Feminist Tweets Like: "Women's Language" and Styling Activist Identities in a #YesAllWomen Twitter Corpus
<p>This dissertation presents results of a study of linguistic practice in the context of feminist activism on Twitter. Twitter has become a primary medium for social and political activism and a rich venue for study of the relationship between digitally mediated language and identity production. …
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From the Streets to the Tweets: Social Network Analysis of Canadian Street Gang Members and Their Use of Twitter, Facebook and Youtube
In the last two decades, the use of social networking sites (SNS) has increased at an astounding rate. Research regarding street gangs’ use of social media generally suggests two assumptions: Firstly, street gang members have infiltrated SNS, and have transferred much of their gang culture from the …
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Looping predictive method to improve accuracy of a machine learning model
… of this project is an analysis of drug-related tweets. The goal is to build a Machine Learning Model that can distinguish between tweets that indicate drug abuse and other tweets that also contain the name of a drug but do not describe abuse. Drugs can be illegal, such as heroin, or legal drugs …
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