Digital Commons Network^™

Constitutionalism And Democracy Dataset, Version 1.0, Todd A. Eisenstadt, Carl Levan, Tofigh Maboudi

Political Science: Faculty Publications and Other Works

The main objective of the CDD is to quantify the process of constitution-making since 1974. This is the first public release of any data on the process of constitution-making. This release includes data on 144 national constitutions promulgated in 119 countries from 1974 to 2014. The unit of analysis in the data is national constitutions. The data in this release includes only “new” constitutions and does not include suspended, re-installed, amended, or interim constitutions. In this release, only countries with a population larger than 500,000 are included. The authors intend to update the data by including all countries, expanding the …

Document Classification Using Machine Learning, Ankit Basarkar

Master's Projects

To perform document classification algorithmically, documents need to be represented such that it is understandable to the machine learning classifier. The report discusses the different types of feature vectors through which document can be represented and later classified. The project aims at comparing the Binary, Count and TfIdf feature vectors and their impact on document classification. To test how well each of the three mentioned feature vectors perform, we used the 20-newsgroup dataset and converted the documents to all the three feature vectors. For each feature vector representation, we trained the Naïve Bayes classifier and then tested the generated classifier …

Headline Generation Using Deep Neural Networks, Dhruven Vora

Master's Projects

News headline generation is one of the important text summarization tasks. Human generated news headlines are generally intended to catch the eye rather than provide useful information. There have been many approaches to generate meaningful headlines by either using neural networks or using linguistic features. In this report, we are proposing a novel approach based on integrating Hedge Trimmer, which is a grammar based extractive summarization system with a deep neural network abstractive summarization system to generate meaningful headlines. We analyze the results against current recurrent neural network based headline generation system.

Named Entity Recognition And Classification For Natural Language Inputs At Scale, Shreeraj Dabholkar

Master's Projects

Natural language processing (NLP) is a technique by which computers can analyze, understand, and derive meaning from human language. Phrases in a body of natural text that represent names, such as those of persons, organizations or locations are referred to as named entities. Identifying and categorizing these named entities is still a challenging task, research on which, has been carried out for many years. In this project, we build a supervised learning based classifier which can perform named entity recognition and classification (NERC) on input text and implement it as part of a chatbot application. The implementation is then scaled …

Mining Frequency Of Drug Side Effects Over A Large Twitter Dataset Using Apache Spark, Dennis Hsu

Master's Projects

Despite clinical trials by pharmaceutical companies as well as current FDA reporting systems, there are still drug side effects that have not been caught. To find a larger sample of reports, a possible way is to mine online social media. With its current widespread use, social media such as Twitter has given rise to massive amounts of data, which can be used as reports for drug side effects. To process these large datasets, Apache Spark has become popular for fast, distributed batch processing. In this work, we have improved on previous pipelines in sentimental analysis-based mining, processing, and extracting tweets …

Detecting Deception In Asynchronous Text, Fletcher Glancy

Annual ADFSL Conference on Digital Forensics, Security and Law

Glancy and Yadav (2010) developed a computational fraud detection model (CFDM) that successfully detected financial reporting fraud in the text of the management’s discussion and analysis (MDA) portion of annual filings with the United States Securities and Exchange Commission (SEC). This work extends the use of the CFDM to additional genres, demonstrates the generalizability of the CFDM and the use of text mining for quantitatively detecting deception in asynchronous text. It also demonstrates that writers committing fraud use words differently from truth tellers.

2016 "Meeting Of The Minds" Research Symposium Abstracts

OSRI Journal of Student Research and Innovation

No abstract provided.

Toward Measuring Network Aesthetics Based On Symmetry, Zengqiang Chen, Matthias Dehmer, Frank Emmert-Streib, Abbe Mowshowitz, Yongtang Shi

Publications and Research

In this exploratory paper, we discuss quantitative graph-theoretical measures of network aesthetics. Related work in this area has typically focused on geometrical features (e.g., line crossings or edge bendiness) of drawings or visual representations of graphs which purportedly affect an observer’s perception. Here we take a very different approach, abandoning reliance on geometrical properties, and apply information-theoretic measures to abstract graphs and networks directly (rather than to their visual representaions) as a means of capturing classical appreciation of structural symmetry. Examples are used solely to motivate the approach to measurement, and to elucidate our symmetry-based mathematical theory of network aesthetics.

Enhancing The Learning Experience- Use Of Video Game Technology For Teaching Japanese Language, Craig A. Decampli

Senior Honors Projects, 2010-2019

The Japanese language is challenging to learn, especially for native speakers of Indo- European languages. The three components of written Japanese -- Hiragana, Katakana, and Kanji – include 2,136 Kanji characters, and 46 each for Katakana and Hiragana. Teaching Japanese – generally through repetition – can lead to student boredom and affect success. Research shows that video games can at least provide a more enjoyable learning experience. Despite this fact, there are a lack of video games for teaching Japanese characters. Using the Unity game engine and the C# programming language, a video game for enhancing the learning of students …

Place Events 2016-2017, Place

PLACE Historical Documents

This document describes PLACE events at Linfield College for 2016-2017.

Digital Hegemonies: The Localness Of Search Engine Results, Andrea Ballatore, Mark Graham, Shilad Sen

Faculty Publications

Every day, billions of Internet users rely on search engines to find information about places to make decisions about tourism, shopping, and countless other economic activities. In an opaque process, search engines assemble digital content produced in a variety of locations around the world and make it available to large cohorts of consumers. Although these representations of place are increasingly important and consequential, little is known about their characteristics and possible biases. Analyzing a corpus of Google search results generated for 188 capital cities, this article investigates the geographic dimension of search results, focusing on searches such as “Lagos” and …

Dispositions Of First Year Teachers Who Teach Mathematics For Social Justice, Kyndall A. Brown

Journal of Multicultural Affairs

For over 10 years, mathematics educators have sought to use mathematics tasks with social justice contexts to engage students. While student teachers in the UCLA Teacher Education Program (TEP) engage in social justice tasks in their secondary mathematics method classes, very few teachers use these types of tasks with students in the classrooms. The master’s inquiry projects of three TEP students who engaged their students in social justice tasks are analyzed to determine how their backgrounds and positionality influenced their instructional decision making. Results show that personal experiences in the teachers’ lives, as well as a desire to increase motivation …

Critical Reflections On Teacher Conceptions Of Race As Related To The Effectiveness Of Science Learning, Colby Tofel-Grehl, Kristin Searle

Journal of Multicultural Affairs

The Maker Movement’s current traction in education revolves around the notion that constructing artifacts improves student interest and engagement. Often touted as a new and important way for students to access STEM content, “making” activities offer a unique opportunity to disrupt the traditional perceptions of who can successfully “do” STEM. Blending familiar materials and practices (e.g. sewing with a needle and thread) with atypical materials (e.g., conductive thread and sewable LED bulbs), electronic textiles, or e-textiles, allow makers to create working circuits in ways that connect with their out-of-school lives, including heritage and vernacular cultural practices. This article describes the …

A Comparative Study Of Cognitive Systems For Learning, Praneetha Mandava

Theses and Dissertations

Learning is the modification of a behavioral tendency by experience. Memory and reasoning are the most important aspects for learning in humans; information is temporarily stored in the short-term memory and processed, compared with existing memories and stored in long-term memory, and can be re-used when needed. One way to describe an organized pattern of thought or behavior and the categories of information along with their relationships is by using schemas. A cognitive script is one form of a schema that evolves over multiple exposures to the same set of stimuli and/or repeated enactment of a particular behavior. This research …

Problematizing Socio-Scientific Issues: An Approach To Understanding Student Decision-Making Using Construal Level Theory, Ashley M. Peterson

School of Natural Resources: Dissertations, Theses, and Student Research

Socio-scientific issues (SSIs) are challenges at the intersection of science and everyday life that require use of scientific knowledge, argumentation skills, personal values, and morals to articulate science-informed decisions. While addressing SSIs, the ways in which individuals define a problem will influence the solution or decision reached. The problem definition can differ along many dimensions, including content and construal level. A construal is a mental construction of the past and future, other places and people, and unlikely events. Construal Level Theory (CLT) suggests pro-environmental intentions are associated with abstract situations. I explore the application of CLT to teaching and learning …

Facilitating Pre-Service Teachers To Learn The Mathematical Practices And Engage English Language Learners, Jim Ewing

Journal of Multicultural Affairs

A methods course attempted to help pre-service teachers facilitate the engagement of English language learners (ELLs) in Mathematical Practices from the Common Core State Standards. When 22 elementary pre-service teachers were taught a mathematics lesson in Spanish, most were unable to make sense of the lesson. This made them more aware of challenges ELLs may face when they attempt to engage in Mathematical Practices. The pre-service teachers developed their own strategies to facilitate ELLs. The findings suggest that pre-service teachers not only better empathized with ELLs after being taught in another language, they also learned Mathematical Practices more deeply.

Choosing An Nlp Library For Analyzing Software Documentation: A Systematic Literature Review And A Series Of Experiments, Fouad N. A. Al Omran, Christoph Treude

Research Collection School Of Computing and Information Systems

To uncover interesting and actionable information from natural language documents authored by software developers, many researchers rely on "out-of-the-box" NLP libraries. However, software artifacts written in natural language are different from other textual documents due to the technical language used. In this paper, we first analyze the state of the art through a systematic literature review in which we find that only a small minority of papers justify their choice of an NLP library. We then report on a series of experiments in which we applied four state-of-the-art NLP libraries to publicly available software artifacts from three different sources. Our …

Predicting Friendship Strength In Facebook, Nitish Dhakal

Boise State University Theses and Dissertations

Effective friend classification in Online Social Networks (OSN) has many benefits in privacy. Anything posted by the user in social networks like Facebook is distributed among all their friends. Although the user can select the manual option for their post-dissemination, it is not feasible every time. Since not all friends are the same in a social network, the visibility access for the post should be different for different strengths of friendship for privacy. We propose a model with 24 features for finding friendship strength in a social network like Facebook. Previous works in finding friendship strength in social networks have …

Deep Learning Implementation For Comparison Of User Reviews And Ratings, Nishit Shrestha

UNLV Theses, Dissertations, Professional Papers, and Capstones

Sentiment Analysis is the task of identifying and classifying the sentiment expressed in a piece of text as of positive or negative sentiment and has wide application in E-Commerce. In present time, most e-commerce websites have product review sections, which can be used to identify customer satisfaction/dissatisfaction for their product. In E-COMMERCE websites such as Amazon.com, E-bay.com etc, consumers can submit their reviews along with a specific polarity rating (e.g. 1 to 5 stars at Amazon.com). There is a possibility of mismatch between review submitted and polarity of rating. For Amazon.com, a customer can submit a strongly positive review but …

Table Of The Sun, Christine Bettis

UNLV Theses, Dissertations, Professional Papers, and Capstones

My creative thesis is a 48-page collection of poems titled Table of the Sun. Each poem is an intimate interrogation of varied ecological, romantic, and/or political disasters ranging from the Dakota Access Pipeline, cruel love, and Donald Trump. Some poems are reckonings, and others work to heal trauma, heartache, clinical illness, and supernatural afflictions like those experienced by the Tarantati of Puglia. Some are combative, it's true. Water is everywhere and it is multitudinous as an agent of destruction, cleansing, and transformation, and as a life-giver. The collection was influenced by readings, lectures, and courses I've experienced at UNLV, including …

Lexicons In Sentiment Analytics, B. Yuan, Keng Siau

Research Collection School Of Computing and Information Systems

With the increasing amount of text data, sentiment analytics (SA) is becoming an important tool for text miners. An automated approach is needed to parse the online reviews and comments, and analyze their sentiments. Since lexicon is the most important component in SA, enhancing the quality of lexicons will improve the efficiency and accuracy of sentiment analysis. In this research, we study the effect of coupling a general lexicon with a specialized lexicon (for a specific domain) and its impact on sentiment analysis. Two special domains and one general domain were used. The two special domains are the petroleum domain …

Volume 3, Full Contents

Butler Journal of Undergraduate Research

No abstract provided.

Tango: A Spanish-Based Programming Language, Ashley M. Zegiestowsky

Butler Journal of Undergraduate Research

The first part of this article deals with the creation of my own Spanish-based programming language, Tango, using Spanish key words (instead of English key words). The second part relates to the design and implementation of a compiler that follows the grammar rules outlined in the Tango language in order to successfully lexically analyze, parse, semantically analyze, and generate code for Tango. This article begins with a description of the specific goals achieved in the Tango language, an explanation and brief examples of the Tango Grammar, a high-level overview of the compiler design and data structures used, and concludes with …

Network Exploration Of Correlated Multivariate Protein Data For Alzheimer's Disease Association, Matthew J. Lane

Theses

Alzheimer Disease (AD) is difficult to diagnose by using genetic testing or other traditional methods. Unlike diseases with simple genetic risk components, there exists no single marker determining as to whether someone will develop AD. Furthermore, AD is highly heterogeneous and different subgroups of individuals develop the disease due to differing factors. Traditional diagnostic methods using perceivable cognitive deficiencies are often too little too late due to the brain having suffered damage from decades of disease progression. In order to observe AD at early stages prior to the observation of cognitive deficiencies, biomarkers with greater accuracy are required. By using …

Bryant University Research And Engagement Day Program

Bryant REDay (Research and Engagement Day)

No abstract provided.

Six Septembers: Mathematics For The Humanist, Patrick Juola, Stephen Ramsay

Zea E-Books Collection

Scholars of all stripes are turning their attention to materials that represent enormous opportunities for the future of humanistic inquiry. The purpose of this book is to impart the concepts that underlie the mathematics they are likely to encounter and to unfold the notation in a way that removes that particular barrier completely. This book is a primer for developing the skills to enable humanist scholars to address complicated technical material with confidence. This book, to put it plainly, is concerned with the things that the author of a technical article knows, but isn’t saying. Like any field, mathematics operates …

Exploring Student Learning In Post-Secondary General Chemistry: Novel Tools For Measuring Linked Concepts And Study Habits, Li Ye

USF Tampa Graduate Theses and Dissertations

This dissertation presents novel tools to help instructors measure students linking of content knowledge and the actions students perform for studying in the context of post-secondary General Chemistry.

The first tool described in this work is Creative Exercises (CEs), an open-ended assessment that has the potential to promote students making connections across the content covered in General Chemistry. Students are given a simple prompt that describes a chemistry situation, and asked to write as many statements as they can that are correct, distinct and relevant to the prompt and the course content. The written responses to CEs from both in-class …

Quantitative Criticism Of Literary Relationships, Joseph P. Dexter, Theodore Katz, Nilesh Tripuraneni, Tathagata Dasgupta, Ajay Kannan, James Brofos, Jorge A. Bonilla Lopez, Lea Schroeder

Dartmouth Scholarship

Authors often convey meaning by referring to or imitating prior works of literature, a process that creates complex networks of literary relationships (“intertextuality”) and contributes to cultural evolution. In this paper, we use techniques from stylometry and machine learning to address subjective literary critical questions about Latin literature, a corpus marked by an extraordinary concentration of intertextuality. Our work, which we term “quantitative criticism,” focuses on case studies involving two influential Roman authors, the playwright Seneca and the historian Livy. We find that four plays related to but distinct from Seneca’s main writings are differentiated from the rest of the …

The Incredible Inventions Of Intuitive Ai: Ted Talk Annotated Resource List, Dylan Duckworth

Undergraduate Research Award

No abstract provided.

Eassistant: Cognitive Assistance For Identification And Auto-Triage Of Actionable Conversations, Hamid R. Motahari Nezhad, Kalpa Gunaratna, Juan Cappi

Kno.e.sis Publications

The browser and screen have been the main user interfaces of the Web and mobile apps. The notification mechanism is an evolution in the user interaction paradigm by keeping users updated without checking applications. Conversational agents are posed to be the next revolution in user interaction paradigms. However, without intelligence on the triage of content served by the interaction and content differentiation in applications, interaction paradigms may still place the burden of information overload on users. In this paper, we focus on the problem of intelligent identification of actionable information in the content served by applications, and in particular in …