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An evaluation of machine learning algorithms for tweet sentiment analysis
Title
An evaluation of machine learning algorithms for tweet sentiment analysis.
Creator
Prusa, Joseph D., Khoshgoftaar, Taghi M., Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
Sentiment analysis of tweets is an application of mining Twitter, and is growing in popularity as a means of determining public opinion. Machine learning algorithms are used to perform sentiment analysis; however, data quality issues such as high dimensionality, class imbalance or noise may negatively impact classifier performance. Machine learning techniques exist for targeting these problems, but have not been applied to this domain, or have not been studied in detail. In this thesis we...
Show moreSentiment analysis of tweets is an application of mining Twitter, and is growing in popularity as a means of determining public opinion. Machine learning algorithms are used to perform sentiment analysis; however, data quality issues such as high dimensionality, class imbalance or noise may negatively impact classifier performance. Machine learning techniques exist for targeting these problems, but have not been applied to this domain, or have not been studied in detail. In this thesis we discuss research that has been conducted on tweet sentiment classification, its accompanying data concerns, and methods of addressing these concerns. We test the impact of feature selection, data sampling and ensemble techniques in an effort to improve classifier performance. We also evaluate the combination of feature selection and ensemble techniques and examine the effects of high dimensionality when combining multiple types of features. Additionally, we provide strategies and insights for potential avenues of future work.
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Date Issued
2015
PURL
http://purl.flvc.org/fau/fd/FA00004460, http://purl.flvc.org/fau/fd/FA00004460
Subject Headings
Social media., Natural language processing (Computer science), Machine learning., Algorithms., Fuzzy expert systems., Artificial intelligence.
Format
Document (PDF)
NEURALSYNTH - A NEURAL NETWORK TO FPGA COMPILATION FRAMEWORK FOR RUNTIME EVALUATION
Title
NEURALSYNTH - A NEURAL NETWORK TO FPGA COMPILATION FRAMEWORK FOR RUNTIME EVALUATION.
Creator
Lanham, Grant Jr, Hallstrom, Jason O., Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
Abstract/Description
Artificial neural networks are increasing in power, with attendant increases in demand for efficient processing. Performance is limited by clock speed and degree of parallelization available through multi-core processors and GPUs. With a design tailored to a specific network, a field-programmable gate array (FPGA) can be used to minimize latency without the need for geographically distributed computing. However, the task of programming an FPGA is outside the realm of most data scientists....
Show moreArtificial neural networks are increasing in power, with attendant increases in demand for efficient processing. Performance is limited by clock speed and degree of parallelization available through multi-core processors and GPUs. With a design tailored to a specific network, a field-programmable gate array (FPGA) can be used to minimize latency without the need for geographically distributed computing. However, the task of programming an FPGA is outside the realm of most data scientists. There are tools to program FPGAs from a high level description of a network, but there is no unified interface for programmers across these tools. In this thesis, I present the design and implementation of NeuralSynth, a prototype Python framework which aims to bridge the gap between data scientists and FPGA programming for neural networks. My method relies on creating an extensible Python framework that is used to automate programming and interaction with an FPGA. The implementation includes a digital design for the FPGA that is completed by a Python framework. Programming and interacting with the FPGA does not require leaving the Python environment. The extensible approach allows multiple implementations, resulting in a similar workflow for each implementation. For evaluation, I compare the results of my implementation with a known neural network framework.
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Date Issued
2020
PURL
http://purl.flvc.org/fau/fd/FA00013533
Subject Headings
Artificial neural networks, Neural networks (Computer science)--Design, Field programmable gate arrays, Python (Computer program language)
Format
Document (PDF)
The Journey of Art Doll: World-Building in Contemporary Narrative
Title
The Journey of Art Doll: World-Building in Contemporary Narrative.
Creator
Taber, Robin E., Bargsten, Joey, Florida Atlantic University, Dorothy F. Schmidt College of Arts and Letters, School of Communication and Multimedia Studies
Abstract/Description
Games, movies, television, and interactive media make use of World-Building. World-Building essentially creates an elaborate invented universe in order to give a story context. In other words it generates a back-story designed to enhance the cathartic experience and promote engagement by the reader, viewer or participant. Some examples of World-Building include Halo, World of WarCraft and Game of Thrones. Stories need context to be fully understood and experienced. One describes a situation,...
Show moreGames, movies, television, and interactive media make use of World-Building. World-Building essentially creates an elaborate invented universe in order to give a story context. In other words it generates a back-story designed to enhance the cathartic experience and promote engagement by the reader, viewer or participant. Some examples of World-Building include Halo, World of WarCraft and Game of Thrones. Stories need context to be fully understood and experienced. One describes a situation, the environment, sensations, smells, sounds and sensory perception to give the audience a fuller, richer experience. World-Building provides context through history, textures, laws, physics and motivations. The written portion of this thesis describes the process of generating a fantasy world. The visual portion uses a character-driven narrative to examine larger themes such as psychological transformation and pursuing one’s dream against the odds.
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Date Issued
2017
PURL
http://purl.flvc.org/fau/fd/FA00004909, http://purl.flvc.org/fau/fd/FA00004909
Subject Headings
Interactive multimedia., Fantasy fiction--Authorship., Fantasy literature--History and criticism--Theory, etc., Imaginary places in literature., Languages, Artificial.
Format
Document (PDF)