Social and Behavioral Sciences Commons^™

Discovering Explanatory Models To Identify Relevant Tweets On Zika, Roopteja Muppalla, Michele Miller, Tanvi Banerjee, William L. Romine

Kno.e.sis Publications

Zika virus has caught the worlds attention, and has led people to share their opinions and concerns on social media like Twitter. Using text-based features, extracted with the help of Parts of Speech (POS) taggers and N-gram, a classifier was built to detect Zika related tweets from Twitter. With a simple logistic classifier, the system was successful in detecting Zika related tweets from Twitter with a 92% accuracy. Moreover, key features were identified that provide deeper insights on the content of tweets relevant to Zika. This system can be leveraged by domain experts to perform sentiment analysis, and understand the …

Preservation Perspectives: Disaster Planning, Bill Stolz

University Libraries' Staff Publications

Summer is here, bringing the potential for storms, heavy rain, flooding, high winds, and more. However, it is not only summer storms we must be concerned with, as disaster can strike at any time, caused by Mother Nature or by humans – think plumbing or electrical problems. In any event, we as archivists, librarians, and home historians should be ready for any type of disaster by being prepared and having a plan. Today we will focus on preparing for a disaster at home or in the office. Next time we will explore the disaster plan itself.

Integrating Your Sources: A Presentation For Biostar Students, Holly A. Jackson, Jill Tussing

University Libraries' Staff Publications

You've searched for articles and books and you have a list of sources that are on your topic. Now how are you supposed to use them in your paper? In this workshop, staff from the Writing Center and a librarian take you through the process of integrating those sources in your paper. Learn how to quote and paraphrase while avoiding plagiarism and keeping your voice the focus of your paper.

A Knowledge Graph Framework For Detecting Traffic Events Using Stationary Cameras, Roopteja Muppalla, Sarasi Lalithsena, Tanvi Banerjee, Amit Sheth

Kno.e.sis Publications

With the rapid increase in urban development, it is critical to utilize dynamic sensor streams for traffic understanding, especially in larger cities where route planning or infrastructure planning is more critical. This creates a strong need to understand traffic patterns using ubiquitous sensors to allow city officials to be better informed when planning urban construction and to provide an understanding of the traffic dynamics in the city. In this study, we propose our framework ITSKG (Imagery-based Traffic Sensing Knowledge Graph) which utilizes the stationary traffic camera information as sensors to understand the traffic patterns. The proposed system extracts image-based features …

International Norms And Foreign Policy, Vaughn P. Shannon

Political Science Faculty Publications

International norms exist as constraints on foreign policy, yet norms are also the product of the foreign policies of states and other actors. Research has demonstrated how norms restrain foreign policy choice and behavior, and even alter state conceptions of national interests. Other studies point to the weakness of norms in the face of national interests and state power. Others note that the meaning of norms and their obligations are often contested, leading to problems of norm violation and norm enforcement. As social constructions, an important consideration is how and when foreign policy promotes norms and norm diffusion in the …

Examining The Relationship Between Traumatic Experiences And Posttraumatic Growth Among Counselors-In-Training, John A. Conteh, Mary J. Huber, Huma A. Bashir

Human Services Faculty Publications

The present study explored the relationship between experience of trauma and posttraumatic growth (PTG) among 86 graduate level counselors-in-training (CIT). Results indicated that the most frequent trauma endorsed was witnessed or learned about violence to a loved one and the higher the rating of the most severe trauma experienced related to a higher reported level of personal growth. Overall, 67% of the CIT received support for their trauma by participating in personal counseling. Implications for counselor educators includes an understanding of the potential for trauma impacting students as well as different responses to trauma based on gender and the number …

Preservation Perspectives: The Magic Of Outreach, Bill Stolz

University Libraries' Staff Publications

The article discusses the importance of outreach programs among collectors and archivists. It mentions the hurdles of being a collector as his collection is often kept and that the challenge is in raising awareness. It adds that outreach is a tool where collectors and archivists can promote, protect and connect the community to one's collection and archive.

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 …

What Are People Tweeting About Zika? An Exploratory Study Concerning Its Symptoms, Treatment, Transmission, And Prevention, Michele Miller, Tanvi Banerjee, Roopteja Muppalla, William L. Romine, Amit Sheth

Kno.e.sis Publications

Background: In order to harness what people are tweeting about Zika, there needs to be a computational framework that leverages machine learning techniques to recognize relevant Zika tweets and, further, categorize these into disease-specific categories to address specific societal concerns related to the prevention, transmission, symptoms, and treatment of Zika virus.

Objective: The purpose of this study was to determine the relevancy of the tweets and what people were tweeting about the 4 disease characteristics of Zika: symptoms, transmission, prevention, and treatment.

Methods: A combination of natural language processing and machine learning techniques was used to determine what people were …

Google Like A Pro!, 2017, Mandy Shannon

Instruction & Research Services Workshops

Do you love Google, but hate filtering through millions of results to find the type of information you need? Learn some of the tips and tricks of the information pros for how to make your use of Google more efficient for your information needs.

Stop Searching And Start Finding: Effective Search Strategies, 2017, Mandy Shannon

Instruction & Research Services Workshops

Sorting through different information sources can be stressful. You've heard that using the library databases give you better results, but how do you find them? With the help of Jimmy Fallon and Jonah Hill, we’ll explore how to search the databases to find better results faster and easier.

Preservation Perspectives: New Year & New Goals, Bill Stolz

University Libraries' Staff Publications

The article discusses the importance of making realistic goals for 2017 such as reappraising existing archival library collections, addressing preservation concerns and creating new or updated finding aids for easier accessibility of collections. It offers information on the basic questions needed to be asked in reviewing collections such as the appropriateness of collection to policy and scope, adequacy of storage location and its types of formats.

Mayor Lacks Transparency Reply, Dayton Together

Records of Dayton Together (MS-603)

Bulleted response by Dayton Together regarding lack of transparency charges by the Mayor of Dayton.

Identifying Depressive Disorder In The Twitter Population, Goonmeet Bajaj, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth

Kno.e.sis Publications

Depression is a highly prevalent public health challenge and a major cause of disability across the globe.

• Annually 6.7% of Americans (that is, more than 16 million).
• Traditional approaches to curb depression involve survey·based methods via phone or online questionnaires.
• Large temporal gaps and cognitive bias.

Social media provides a method for learning users' feelings, emotions, behaviors, and decisions in real-time.

Academic Librarians’ Attitudes About Civic-Mindedness And Service Learning, Maureen Barry, Laura A. Lowe, Sarah E. Twill

University Libraries' Staff Publications

Although discourse on the civic engagement of libraries as institutions is plentiful, there has been little discussion of librarians as individuals. Librarianship is more than being a trustee of information. It includes responsibility for the common good. Libraries provide tools for education on social and political issues, but they can also collaborate in activities that improve well-being in their communities. Participating in service learning is one way that librarians on academic campuses can get involved. This study used a standardized scale to measure civic-mindedness among academic librarians and examine characteristics and activities, including service learning, related to variation in its …

Beyond Affordances: Closing The Generalization Gap Between Design And Cognitive Science, John M. Flach, Pieter Jan Stappers, Fred Voorhorst

Psychology Faculty Publications

As designers and cognitive scientists begin to explore human experience as a relation between people and products, there is a need for constructs that index relational properties (i.e., properties of a product that are dependent on properties of an actor). One such construct that has recently become popular with designers is affordance. Affordances, such as pass-through-able, depend on properties of both an object (e.g., width of an opening) and properties of an actor (e.g., girth or shoulder width). In this article, three relational constructs are suggested to reflect important properties of the coupling between humans and products: affording, specifying, and …

A Novel Approach For Classifying Gene Expression Data Using Topic Modeling, Soon Jye Kho, Himi Yalamanchili, Michael L. Raymer, Amit Sheth

Kno.e.sis Publications

Understanding the role of differential gene expression in cancer etiology and cellular process is a complex problem that continues to pose a challenge due to sheer number of genes and inter-related biological processes involved. In this paper, we employ an unsupervised topic model, Latent Dirichlet Allocation (LDA) to mitigate overfitting of high-dimensionality gene expression data and to facilitate understanding of the associated pathways. LDA has been recently applied for clustering and exploring genomic data but not for classification and prediction. Here, we proposed to use LDA inclustering as well as in classification of cancer and healthy tissues using lung cancer …

Road Accidents Bigdata Mining And Visualization Using Support Vector Machines, Usha Lokala, Srinivas Nowduri, Prabhakar K. Sharma

Kno.e.sis Publications

Useful information has been extracted from the road accident data in United Kingdom (UK), using data analytics method, for avoiding possible accidents in rural and urban areas. This analysis make use of several methodologies such as data integration, support vector machines (SVM), correlation machines and multinomial goodness. The entire datasets have been imported from the traffic department of UK with due permission. The information extracted from these huge datasets forms a basis for several predictions, which in turn avoid unnecessary memory lapses. Since data is expected to grow continuously over a period of time, this work primarily proposes a new …

Relatedness-Based Multi-Entity Summarization, Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng

Kno.e.sis Publications

Representing world knowledge in a machine processable format is important as entities and their descriptions have fueled tremendous growth in knowledge-rich information processing platforms, services, and systems. Prominent applications of knowledge graphs include search engines (e.g., Google Search and Microsoft Bing), email clients (e.g., Gmail), and intelligent personal assistants (e.g., Google Now, Amazon Echo, and Apple’s Siri). In this paper, we present an approach that can summarize facts about a collection of entities by analyzing their relatedness in preference to summarizing each entity in isolation. Specifically, we generate informative entity summaries by selecting: (i) inter-entity facts that are similar and …

A Semantics-Based Measure Of Emoji Similarity, Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran

Kno.e.sis Publications

Emoji have grown to become one of the most important forms of communication on the web. With its widespread use, measuring the similarity of emoji has become an important problem for contemporary text processing since it lies at the heart of sentiment analysis, search, and interface design tasks. This paper presents a comprehensive analysis of the semantic similarity of emoji through embedding models that are learned over machine-readable emoji meanings in the EmojiNet knowledge base. Using emoji descriptions, emoji sense labels and emoji sense definitions, and with different training corpora obtained from Twitter and Google News, we develop and test …