Computer Sciences Commons^™

Empirical Analysis Of Cbow And Skip Gram Nlp Models, Tejas Menon

University Honors Theses

CBOW and Skip Gram are two NLP techniques to produce word embedding models that are accurate and performant. They were invented in the seminal paper by T. Mikolov et al. and have since observed optimizations such as negative sampling and subsampling. This paper implements a fully-optimized version of these models using Py-Torch and runs them through a toy sentiment/subject analysis. It is weakly observed that different corpus types affect the skew of word embeddings such that fictional corpus are better suited for sentiment analysis and non-fictional for subject analysis.

Automatic Keyphrase Extraction From Russian-Language Scholarly Papers In Computational Linguistics, Yves Wienecke

University Honors Theses

The automatic extraction of keyphrases from scholarly papers is a necessary step for many Natural Language Processing (NLP) tasks, including text retrieval, machine translation, and text summarization. However, due to the different grammatical and semantic intricacies of languages, this is a highly language-dependent task. Many free and open source implementations of state-of-the-art keyphrase extraction techniques exist, but they are not adapted for processing Russian text. Furthermore, the multi-linguistic character of scholarly papers in the field of Russian computational linguistics and NLP introduces additional complexity to keyphrase extraction. This paper describes a free and open source program as a proof of …

Busting Myths And Dispelling Doubts About Covid-19, Mark Findlay

Research Collection Yong Pung How School Of Law

The Centre for AI and Data Governance (CAIDG) at Singapore Management University (SMU) has embarked over past months on a programme of research designed to confront concerns about the pandemic and its control. Our interest is primarily directed to the ways in which AI-assisted technologies and mass data sharing have become a feature of pandemic control strategies. We want to know what impact these developments are having on community confidence and health safety. In developing this work, we have come across many myths that need busting.

Evaluating Human Versus Machine Learning Performance In Classifying Research Abstracts, Yeow Chong Goh, Xin Qing Cai, Walter Theseira, Giovanni Ko, Khiam Aik Khor

Research Collection School Of Economics

We study whether humans or machine learning (ML) classification models are better at classifying scientific research abstracts according to a fixed set of discipline groups. We recruit both undergraduate and postgraduate assistants for this task in separate stages, and compare their performance against the support vectors machine ML algorithm at classifying European Research Council Starting Grant project abstracts to their actual evaluation panels, which are organised by discipline groups. On average, ML is more accurate than human classifiers, across a variety of training and test datasets, and across evaluation panels. ML classifiers trained on different training sets are also more …

Introduction To The R-Package: Usdampr, Elliott James Dennis, Bowen Chen

Extension Farm and Ranch Management News

Why the Need for the Package? In the 1990’s, concern over growing packer concentration and a hog industry market shock resulted in discontent among producers and packers. As a result, the United States Congress passed the Livestock Mandatory Reporting Act of 1999 (1999 Act) [Pub. L. 106-78, Title IX] which is required to be reauthorized every five years. See here for a full history of the Livestock Mandatory Reporting Background.

Market reports were publicly issued in the form of .txt files with varying frequency from April 2000 to April 2020. Current and historical data were also housed in a USDA-AMS …

Literature Review: How U.S. Government Documents Are Addressing The Increasing National Security Implications Of Artificial Intelligence, Bert Chapman

Libraries Faculty and Staff Scholarship and Research

This article emphasizes the increasing importance of artificial intelligence (AI) in military and national security policy making. It seeks to inform interested individuals about the proliferation of publicly accessible U.S. government and military literature on this multifaceted topic. An additional objective of this endeavor is encouraging greater public awareness of and participation in emerging public policy debate on AI's moral and national security implications..

An Assessment Of Global Research Activities On Children And Adolescent Online Security, Adeola O. Opesade Dr, Omolayo A. Adesina Ms.

Journal of Cybersecurity Education, Research and Practice

The use of the Internet among children and adolescents is now a norm in many parts of the world. As the Internet offers a wide range of benefits to these ones, so does it expose them to possible various risks and harm. Researchers in different countries across the world have engaged in the production of relevant research-based knowledge in order to make the virtual world a safe place for the younger ones. However, while studies have been carried out on the subject of Internet risk among children and adolescents, there is a dearth of information on the assessment of research …

Greenwatch-Shing: Using Ai To Detect Greenwashing, Theodor Florian Cojoianu, Andreas G. F. Hoepner, Georgiana Ifrim, Yanan Lin

Research Collection College of Integrative Studies

The rise of fake news has resulted in a wide discrepancy between the attention given to the scientific understanding of an issue versus misinformed and sometimes purposefully disinformed claims (false information that is purposely spread to deceive people) coming from outside the scientific community. One such example relates to climate change, where a nature study shows that climate change contrarians are featured in 49% more media articles than scientists, despite the overwhelming consensus in the scientific community over the significance of anthropogenic climate change. In addition, many companies worldwide make inaccurate and often misleading claims about their environmental and social …

Real-Time Tracking And Mining Of Users’ Actions Over Social Media, Ejub Kajan, Noura Faci, Zakaria Maamar, Mohamed Sellami, Emir Ugljanin, Hamamache Kheddouci, Dragan H. Stojanović, Djamal Benslimane

All Works

© 2020, ComSIS Consortium. All rights reserved. With the advent of Web 2.0 technologies and social media, companies are actively looking for ways to know and understand what users think and say about their products and services. Indeed, it has become the practice that users go online using social media like Facebook to raise concerns, make comments, and share recommendations. All these actions can be tracked in real-time and then mined using advanced techniques like data analytics and sentiment analysis. This paper discusses such tracking and mining through a system called Social Miner that allows companies to make decisions about …

The Accumulation Of It Capability And Its Long-Term Effect On Financial Performance, Jin Ho Kim

Theses and Dissertations in Business Administration

Many scholars have been studying information technology (IT) capability and its impact on business performance. However, it has been debated whether the IT capability influences firm performance because prior literature shows mixed results. To understand this phenomenon, I performed two studies in this research, placed in two parts. First, by deploying the new concept of accumulation of IT capability, I attempted to reinvestigate the relationship between IT capability and business performance. Next, I examined what factors influence the accumulation of IT capability. In the first part, I suggested two novel constructs that measure the extent of the accumulation of IT …

Talk Like Somebody Is Watching: Understanding And Supporting Novice Live Streamers, Terrance Mok, Colin Matthew Au Yueng, Anthony Tang, Lora Oehlberg

Research Collection School Of Computing and Information Systems

We built a chatbot system–Audience Bot–that simulates an audience for novice live streamers to engage with while streaming. New live streamers on platforms like Twitch are expected to perform and talk to themselves, even while no one is watching. We ran an observational lab study on how Audience Bot assists novice live streamers as they acclimate to multitasking–simultaneously playing a video game while performing for a (simulated) audience.

Goods Consumed During Transit In Split Delivery Vehicle Routing Problems: Modeling And Solution, Wenzhe Yang, Di Wang, Wei Pang, Ah-Hwee Tan, You Zhou

Research Collection School Of Computing and Information Systems

This article presents the modeling and solution of an extended type of split delivery vehicle routing problem (SDVRP). In SDVRP, the demands of customers need to be met by efficiently routing a given number of capacitated vehicles, wherein each customer may be served multiple times by more than one vehicle. Furthermore, in many real-world scenarios, consumption of vehicles en route is the same as the goods being delivered to customers, such as food, water and fuel in rescue or replenishment missions in harsh environments. Moreover, the consumption may also be in virtual forms, such as time spent in constrained tasks. …

Exploring Usage Of Web Resources Through A Model Of Api Learning, Finn Voichick

McKelvey School of Engineering Graduate Student Theses & Dissertations

Application programming interfaces (APIs) are essential to modern software development, and new APIs are frequently being produced. Consequently, software developers must regularly learn new APIs, which they typically do on the job from online resources rather than in a formal educational context. The Kelleher–Ichinco COIL model, an acronym for “Collection and Organization of Information for Learning,” was recently developed to model the entire API learning process, drawing from information foraging theory, cognitive load theory, and external memory research. We ran an exploratory empirical user study in which participants performed a programming task using the React API with the goal of …

Decision Tree For Predicting The Party Of Legislators, Afsana Mimi

Publications and Research

The motivation of the project is to identify the legislators who voted frequently against their party in terms of their roll call votes using Office of Clerk U.S. House of Representatives Data Sets collected in 2018 and 2019. We construct a model to predict the parties of legislators based on their votes. The method we used is Decision Tree from Data Mining. Python was used to collect raw data from internet, SAS was used to clean data, and all other calculations and graphical presentations are performed using the R software.

Building A Library Search Infrastructure With Elasticsearch, Kim Pham, Fernando Reyes, Jeff Rynhart

University Libraries: Faculty Scholarship

This article discusses our implementation of an Elastic cluster to address our search, search administration and indexing needs, how it integrates in our technology infrastructure, and finally takes a close look at the way that we built a reusable, dynamic search engine that powers our digital repository search. We cover the lessons learned with our early implementations and how to address them to lay the groundwork for a scalable, networked search environment that can also be applied to alternative search engines such as Solr.

Synergistic Use Of Remote Sensing And Modeling For Estimating Net Primary Productivity In The Red Sea With Vgpm, Eppley-Vgpm, And Cbpm Models Intercomparison, Wenzhao Li, Surya Prakash Tiwari, Hesham El-Askary, Mohamed Ali Qurban, Vassilis Amiridis, K. P. Manikandan, Michael J. Garay, Olga V. Kalashnikova, Thomas C. Piechota, Daniele C. Struppa

Mathematics, Physics, and Computer Science Faculty Articles and Research

Primary productivity (PP) has been recently investigated using remote sensing-based models over quite limited geographical areas of the Red Sea. This work sheds light on how phytoplankton and primary production would react to the effects of global warming in the extreme environment of the Red Sea and, hence, illuminates how similar regions may behave in the context of climate variability. study focuses on using satellite observations to conduct an intercomparison of three net primary production (NPP) models--the vertically generalized production model (VGPM), the Eppley-VGPM, and the carbon-based production model (CbPM)--produced over the Red Sea domain for the 1998-2018 time period. …

User Experience As A Rhetorical Medium: User At The Intersection Of Audience, Reader And Actor, Áine Doyle

English Honors Theses

The goal of this project is to demonstrate how digital interfaces are bodies of visual language that can be “close-read” and interpreted critically, just like any other traditional text; digital user interfaces, like poetry and novels, have form and content that complement and shape the meaning and interpretation of the other. It is meant to encourage academic discussions about digital interfaces to go beyond whether social media is “good” or “bad” to how digital interfaces are structured, why they are structured the way they are, and what effects these structures have on the way they communicate information and content to …

A Pilot Study On The Impact Of Teaching Assistant Led Cs1 Study Sessions Using Peer Instruction, Megan E. Gilbert

Senior Honors Projects, 2020-current

James Madison University’s Computer Science program strives to be a student-centered learning environment with a focus on creating a community for undergraduate success. National data reveals computer science has the lowest student retention rate compared to other STEM majors. The National Center for Women and Information Technology (NCWIT) has compiled a list of ways to retain students in Computer Science. In particular, NCWIT calls for collaboration indicate that “a sense of belonging, or a feeling of fit, is important for supporting student interest and persistence.” One aspect of creating community is the department’s longstanding commitment to provide undergraduate teaching assistants …

The Use Of Digital Millenium Copyright Act To Stifle Speech Through Non-Copyright Related Takedowns, Miller Freeman

Seattle Journal of Technology, Environmental, & Innovation Law

In 1998, Congress passed the Digital Millennium Copyright Act. This law provided new methods of protecting copyright in online media. These protections shift the normal judicial process that would stop the publication of infringing materials to private actors: the online platforms. As a result, online platforms receive notices of infringement and issue takedowns of allegedly copyrighted works without the judicial process which normally considers the purpose of the original notice of infringement. In at least one case, discussed in detail below, this has resulted in a notice and takedown against an individual for reasons not related to the purpose of …

Commonsense Explanations Of Sparsity, Zipf Law, And Nash's Bargaining Solution, Olga Kosheleva, Vladik Kreinovich, Kittawit Autchariyapanitkul

Departmental Technical Reports (CS)

As econometric models become more and more accurate and more and more mathematically complex, they also become less and less intuitively clear and convincing. To make these models more convincing, it is desirable to supplement the corresponding mathematics with commonsense explanations. In this paper, we provide such explanation for three economics-related concepts: sparsity (as in LASSO), Zipf's Law, and Nash's bargaining solution.

Speech Processing In Computer Vision Applications, Nicholas Waterworth

Computer Science and Computer Engineering Undergraduate Honors Theses

Deep learning has been recently proven to be a viable asset in determining features in the field of Speech Analysis. Deep learning methods like Convolutional Neural Networks facilitate the expansion of specific feature information in waveforms, allowing networks to create more feature dense representations of data. Our work attempts to address the problem of re-creating a face given a speaker's voice and speaker identification using deep learning methods. In this work, we first review the fundamental background in speech processing and its related applications. Then we introduce novel deep learning-based methods to speech feature analysis. Finally, we will present our …

The Mental Health Of Black Men: Stabilizing Trauma With Emotional Intelligence, Davis Brandford

School of Professional Studies

The purpose of this study is to explore the relationship between the impact of historical trauma and barriers on African-American males and the effects of emotional intelligence in reducing traumatic experiences. This research study is based on previous research and studies that explores the historical review of African- American oppression, trauma in black males, and mental health in the African American community. This study will utilize the historical trauma and emotional intelligence theories to explore barriers that African Americans have experienced over time and the role emotional intelligence can play to reduce trauma. It also explores the relevance of historical …

Crisis Communication And Executive Leadership: Ethical Shortcomings In Government, Daniel Davidoff

School of Professional Studies

This research thesis project is an analysis of how and why governments fail in their attempts at crisis communication. The hypotheses tested are: there exists a negative correlation between unethical leadership and successful crisis communication practices. And governments are more likely to experience these failures due to ethical disconnects in modern politics. Research includes a review of relevant academic literature regarding crisis communication theory, as well as the ethical framework that can be applied to that theory. Cases considered are Hurricane Katrina, the choking death of Eric Garner, and the COVID-19 global pandemic. The research project concludes with a recommendation …

Becoming A Trauma Informed Care Organization, Katie Robery

School of Professional Studies

The Brockton Area Mutli Services Inc or BAMSI is a private, non-profit human services organization providing services to adults and children with developmental disabilities, mental illness, behavioral health, and public health needs. Founded in 1975, BAMSI is in the business of “bringing people and services together.” BAMSI transforms lives by building the capacity of individuals, families, organizations, and communities to learn, thrive, and achieve their goals. BAMSI services promote the recovery, resiliency, and self-determination of the people we serve. As a human services leader, we strive to be the provider of choice. (Duffy, 2019) With an emphasis on respect and …

Diversity And Inclusion In The Workplace; Benefits, Challenges And Strategies For Success, Margaret Leone

School of Professional Studies

In this case study I have explored the topic of diversity and inclusion in the workplace and learned how it can transform a business. When D&I is a serious business strategy supported by senior management it can help recruit and retain top talent, increase profits, and unleash creativity among other benefits. It is important to have leadership that is inclusive so they can set the tone for their staff

This case study evaluates the D&I culture at The Children’s Study Home (CHS) and explores best practices for improvement. CHS is a non-profit human service agency in Western MA, that’s mission …

Young People, Social Media, And Impacts On Well-Being, Andreana Nop

School of Professional Studies

Millennials and Generation Z were born into an age where social media and digital technology have been integrated in nearly all aspects of their lives. While social media has proven to be a valuable communication tool in connecting with each other and sharing information, the long-term psychosocial effects are beginning to become more apparent as social media matures. This study analyzes what these effects are and how communication is impacted for these young people. It questions how young people can leverage social media and decrease harm. The study will be conducted through a literature review and analysis. Its goal is …

Managing Burnout And Secondary Traumatic Stress In Human Service Organizations, Naomi Ingram

School of Professional Studies

This Case Study explores how burnout and secondary traumatic stress impact staffing, service delivery, and organizational effectiveness in a human service agency. The Case Study is focused around Ascentria Care Alliance’s Children & Family Services in Massachusetts, which encompasses three foster care programs: the Unaccompanied Refugee Minor (URM), Division of Children’s Services (DCS), and Intensive Foster Care (IFC) programs. Both individual and organizational approaches are needed to most effectively address burnout and secondary traumatic stress. Individual workers need to build resilience factors such as self-compassion and mindfulness, set appropriate boundaries with clients, engage in ongoing training, support, consultation, and supervision, …

Rest Homes: Their Value On Massachusetts Healthcare Continuum, Ronald Pawelski

School of Professional Studies

In Massachusetts, rest homes provide cost effective care for elderly residents in a community setting. Rest homes, however, are not well-understood and the rest home industry itself suffers greatly, not only from a lack of understanding of the services they provide, but also from the strain on their financial resources due to both competition from other healthcare options and insufficient reimbursement rates for residents’ care.

The paper explores the financial challenges facing the industry and outlines the data that speaks to the value of the rest home care option for both the residents themselves and Massachusetts state healthcare budget. It …

A Case Study On The Best Practices Of The Facilitating Organization For Peer Recovery Support Services In The State Of New Hampshire, Maggie Ringey

School of Professional Studies

In working with the Facilitating Organization for Peer Recovery Support Services through Harbor Homes, I have found that the Recovery Community Organizations that receive support through the FO provide valuable services that help individuals that struggle with substance use disorder achieve and maintain long term sobriety and recovery. The RCOs throughout New Hampshire bridge gaps in services and treatments that are left untouched by traditional clinical methods and through regular check ins, participants at the RCOs have reported that the services provided resulted in positive outcomes in their lives. Throughout the course of this research, I found that the RCOs …

Elder Isolation In Immigrant Communities, Jessica Da Silva

School of Professional Studies

This paper examined loneliness, as a measurement of perceived social isolation, in older immigrant adults. Previous research shows that older adults are more likely to experience social isolation and loneliness. Both of which have a direct correlation with their overall health (Wilson & Molton, 2010, Cacioppo et al., 2002) and mortality rates (Holt-Lunstad et al, 2015). Another international study found that immigrants in particular are at a higher risk for experiencing loneliness (Government of Canada, 2018). In this study, 35 immigrants and non-immigrants participants answered a survey which included 20 questions from the UCLA Loneliness Scale Version 3 (Russel, 1996). …