Programming Languages and Compilers Commons^™

Towards Automated Domain-Oriented Lexicon Construction And Dimension Reduction For Arabic Sentiment Analysis, Hasan A. Alshahrani

Dissertations

Sentiment analysis is a type of text mining that uses Natural Language Processing (NLP) tools to identify and label opinionated text. There are two main approaches of sentiment analysis: lexicon-based, and statistical approach. In our research, we use the lexicon-based approach because the lexicon contains sentiment words and phrases which are the main linguistic units to express sentiments. More specifically, we work with domain-oriented lexicons as they are more efficient than general ones because the polarity is heavily driven by domains.

Arabic language has a degree of uniqueness that makes it hard to be processed with the available cross-language tools …

Exploring The Impact Of Pretrained Bidirectional Language Models On Protein Secondary Structure Prediction, Dillon G. Daudert

Masters Theses

Protein secondary structure prediction (PSSP) involves determining the local conformations of the peptide backbone in a folded protein, and is often the first step in resolving a protein's global folded structure. Accurate structure prediction has important implications for understanding protein function and de novo protein design, with progress in recent years being driven by the application of deep learning methods such as convolutional and recurrent neural networks. Language models pretrained on large text corpora have been shown to learn useful representations for feature extraction and transfer learning across problem domains in natural language processing, most notably in instances where the …

Software Improvements To Parint, A Parallel Integration Software Package, Lawrence Cuneaz

Honors Theses

The best software is easy to configure and compile, is expandable and is well tested. Development of the ParInt software package for parallel integration stopped a number of years ago. When handed the software, parts of the package no longer configured or compiled consistently. Furthermore it relied on one random number generator and had no functional testing. The team tuned the auto configuration so that the program would configure and build on current systems, created expandable functionality to add new random number generators and created two functional test packs. Now ParInt can be developed with confidence knowing that it compiles …