Social and Behavioral Sciences Commons^™

Intent Classification Of Short-Text On Social Media, Hemant Purohit, Guozhu Dong, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth

Kno.e.sis Publications

Social media platforms facilitate the emergence of citizen communities that discuss real-world events. Their content reflects a variety of intent ranging from social good (e.g., volunteering to help) to commercial interest (e.g., criticizing product features). Hence, mining intent from social data can aid in filtering social media to support organizations, such as an emergency management unit for resource planning. However, effective intent mining is inherently challenging due to ambiguity in interpretation, and sparsity of relevant behaviors in social data. In this paper, we address the problem of multiclass classification of intent with a use-case of social data generated during crisis …

Implicit Information Extraction From Clinical Notes, Sujan Perera

Kno.e.sis Publications

We address the problem of extracting implicit information from the unstructured clinical notes. Here we introduce the problem of 'implicit entity recognition in clinical notes', propose a knowledge driven approach to address this problem and demonstrate the results of our initial experiments.

Feedback-Driven Radiology Exam Report Retrieval With Semantics, Sarasi Lalithsena, Luis Tari, Anna Von Reden, Benjamin Wilson, Brian J. Kolowitz, John Kalafut, Steven Gustafson, Amit P. Sheth

Kno.e.sis Publications

Clinical documents are vital resources for radiologists to have a better understanding of patient history. The use of clinical documents can complement the often brief reasons for exams that are provided by physicians in order to perform more informed diagnoses. With the large number of study exams that radiologists have to perform on a daily basis, it becomes too time-consuming for radiologists to sift through each patient's clinical documents. It is therefore important to provide a capability that can present contextually relevant clinical documents, and at the same time satisfy the diverse information needs among radiologists from different specialties. In …

Social Health Signals, Ashutosh Sopan Jadhav, Swapnil Soni, Amit P. Sheth

Kno.e.sis Publications

Recently Twitter, has emerged as one of the primary medium for sharing and seeking of the latest information related to variety of the topics including health information. Recently, Twitter has emerged as one of the primary mediums for sharing and seeking the latest information related to a variety of topics, including health information. Although Twitter is an excellent information source, identification of useful information from the deluge of tweets is one of the major challenge. Twitter search is limited to keyword based techniques to retrieve information for a given query and sometimes the results do not contain real-time information. Moreover, …

Ezdi's Semantics-Enhanced Linguistic, Nlp, And Ml Approach For Health Informatics, Raxit Goswami, Neil Shah, Amit P. Sheth

Kno.e.sis Publications

ezDI uses large and extensive knowledge graph to enhance linguistics, NLP and ML techniques to improve structured data extraction from millions of EMR records. It then normalizes it, and maps it with various computer-processable nomenclature such as SNOMED-CT, RxNorm, ICD-9, ICD-10, CPT, and LOINC. Furthermore, it applies advanced reasoning that exploited domain-specific and hierarchical relationships among entities in the knowledge graph to make the data actionable. These capabilities are part of its highly scalable AWS deployed heath intelligence platform that support healthcare informatics applications, including Computer Assisted Coding (CAC), Computerized Document Improvement (CDI), compliance and audit, and core measures and …

Automatic Emotion Identification From Text, Wenbo Wang

Kno.e.sis Publications

Emotions are both prevalent in and essential to most aspects of our lives. They in- fluence our decision-making, affect our social relationships and shape our daily behavior. With the rapid growth of emotion-rich textual content, such as microblog posts, blog posts, and forum discussions, there is a growing need to develop algorithms and techniques for identifying people’s emotions expressed in text. It has valuable implications for the studies of suicide prevention, employee productivity, well-being of people, customer relationship management, etc. However, emotion identification is quite challenging partly due to the following reasons: i) It is a multi-class classification problem that …

Domain Specific Document Retrieval Framework For Real-Time Social Health Data, Swapnil Soni

Kno.e.sis Publications

With the advent of the web search and microblogging, the percentage of Online Health Information Seekers (OHIS) using these online services to share and seek health real-time information has in- creased exponentially. OHIS use web search engines or microblogging search services to seek out latest, relevant as well as reliable health in- formation. When OHIS turn to microblogging search services to search real-time content, trends and breaking news, etc. the search results are not promising. Two major challenges exist in the current microblogging search engines are keyword based techniques and results do not contain real-time information. To address these challenges, …

Evaluating A Potential Commercial Tool For Healthcare Application For People With Dementia, Tanvi Banerjee, Pramod Anantharam, William L. Romine, Larry Wayne Lawhorne

Kno.e.sis Publications

The widespread use of smartphones and sensors has made physiology, environment, and public health notifications amenable to continuous monitoring. Personalized digital health and patient empowerment can become a reality only if the complex multisensory and multimodal data is processed within the patient context, converting relevant medical knowledge into actionable information for better and timely decisions. We apply these principles in the healthcare domain of dementia. Specifically, in this study we validate one of our sensor platforms to ascertain whether it will be suitable for detecting physiological changes that may help us detect changes in people with dementia. This study shows …

Scalable Euclidean Embedding For Big Data, Zohreh S. Alavi, Sagar Sharma, Lu Zhou, Keke Chen

Kno.e.sis Publications

Euclidean embedding algorithms transform data defined in an arbitrary metric space to the Euclidean space, which is critical to many visualization techniques. At big-data scale, these algorithms need to be scalable to massive dataparallel infrastructures. Designing such scalable algorithms and understanding the factors affecting the algorithms are important research problems for visually analyzing big data. We propose a framework that extends the existing Euclidean embedding algorithms to scalable ones. Specifically, it decomposes an existing algorithm into naturally parallel components and non-parallelizable components. Then, data parallel implementations such as MapReduce and data reduction techniques are applied to the two categories of …

The 24th Annual Research Conference Abstract Booklet, University Of Gondar, Ethiopia

University of Gondar Research Conferences

The 25th Annual Staff-Student Research Conference of the University of Gondar will be held on June 19 and 20, 2015 at the Science Amba Auditorium. This year's conference is special in that the year marks the Silver Jubilee of the Annual Staff and Student Research Conference. Drawing on the experiences we have accumulated for the past 25 years, we vow to strive to realize the development and transformation of the country through research and community services.

Staff, postgraduate and senior undergraduate students of the University, invited guests, and speakers will participate in the conference. The annual conference of the University …

"Time For Dabs": Analyzing Twitter Data On Butane Hash Oil Use, Raminta Daniulaityte, Robert G. Carlson, Farahnaz Golroo, Sanjaya Wijeratne, Edward W. Boyer, Silvia S. Martins, Ramzi W. Nahhas, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

Trust Management: Multimodal Data Perspective, Krishnaprasad Thirunarayan

Kno.e.sis Publications

No abstract provided.

Entity Recommendations Using Hierarchical Knowledge Bases, Siva Kumar Cheekula, Pavan Kapanipathi, Derek Doran, Prateek Jain, Amit P. Sheth

Kno.e.sis Publications

Recent developments in recommendation algorithms have focused on integrating Linked Open Data to augment traditional algorithms with background knowledge. These developments recognize that the integration of Linked Open Data may or better performance, particularly in cold start cases. In this paper, we explore if and how a specific type of Linked Open Data, namely hierarchical knowledge, may be utilized for recommendation systems. We propose a content-based recommendation approaches that adapts a spreading activation algorithm over the DBpedia category structure to identify entities of interest to the user. Evaluation of the algorithm over the Movielens dataset demonstrates that our method yields …

Analyzing The Social Media Footprint Of Street Gangs, Sanjaya Wijeratne, Derek Doran, Amit P. Sheth, Jack Dustin

Kno.e.sis Publications

Gangs utilize social media as a way to maintain threatening virtual presences, to communicate about their activities, and to intimidate others. Such usage has gained the attention of many justice service agencies that wish to create better crime prevention and judicial services. However, these agencies use analysis methods that are labor intensive and only lead to basic, qualitative data interpretations. This paper presents the architecture of a modern platform to discover the structure, function, and operation of gangs through the lens of social media. Preliminary analysis of social media posts shared in the greater Chicago, IL region demonstrate the platform’s …

Domain Specific Document Retrieval Framework On Near Real-Time Social Health Data, Swapnil Soni

Kno.e.sis Publications

With the advent of web search and microblogging, the percentage of Online Health Information Seekers (OHIS) using these services to share and seek health information in real-time has increased exponentially. Recently, Twitter has emerged as one of the primary mediums for sharing and seeking of the latest information related to a variety of topics, including health information. Although Twitter is an excellent information source, the identification of useful information from the deluge of tweets is one of the major challenges. Twitter search is limited to keyword-based techniques to retrieve information for a given query and sometimes the results do not …

Big Data And Smart Cities, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

Wright State University's Celebration Of Research, Scholarship And Creative Activities Book Of Abstracts From Friday, April 10, 2015, Wright State University Office Of Undergraduate Research And Stemm Activities

Symposium of Student Research, Scholarship, and Creative Activities Materials

The student abstract booklet is a compilation of abstracts from students' oral and poster presentations at Wright State University's fifth annual Celebration of Research, Scholarship and Creative Activities on April 10, 2015.

No Oasis In The Desert: Identification And Implications Of The Food Desert Around An Urban Ohio Hospital, R. J. Sontag

Symposium of Student Research, Scholarship, and Creative Activities Materials

Montgomery County, Ohio’s diabetes prevalence outpaces the nation, and the incidence of adult obesity approaches 1/3. Access to healthy food in the impoverished neighborhood surrounding Dayton’s Good Samaritan Hospital, the site of the Family Medicine residency, is important when educating about health lifestyle. The purpose of this project was to determine whether the area was a food desert and to evaluate the implications of the label.

Woodrow Wilson’S Ideological War: American Intervention In Russia, 1918-1920, Shane Hapner

Best Integrated Writing

Shane Hapner analyzes the effects of Woodrow Wilson’s principle of self-determination on American intervention in Russia from 1918-1920 in this essay written for the Integrated Writing course HST 4220: Soviet Union, taught by Dr. Seam Pollock at Wright State University.

Circular Thinking: An Original Analysis Of Lord Of The Flies, John Callon

Best Integrated Writing

John Callon examines traits of circular thinking and imagery in William Golding’s Lord of the Flies in this essay written for the Integrated Writing course ENG 4560: Capstone in Integrated Language Arts Curriculum, taught by Dr. Nancy Mack at Wright State University.

Are The Main Institutional Changes That Created The “Business Man” Still Relevant?, Hayden Joblin

Best Integrated Writing

Hayden Joblin examines the forces driving the evolution of the modern business man and whether those still have relevance in this essay written for the Integrated Writing course EC 3190: Institutional Economics, taught by Dr. Hee Young Shin at Wright State University.

Identifying Genes Involved In Suppression Of Tumor Formation In The Planarian Schmidtea Mediterranea, Erin Dorsten

Best Integrated Writing

Erin Dorsten makes a proposal for a scientific study of experiments to identify genes involved in protecting an organism with negligible senescence from tumor formation in this piece written for the Integrated Writing course BIO 4020: Current Literature: Biology of Regeneration, taught by Labib Rouhana at Wright State University.

The Barb Report, Elizabeth Schoppelrei

Best Integrated Writing

Elizabeth Schoppelrei explores issues of sexuality, kindness, masculinity, discrimination, and respect in this short story written for the Integrated Writing course ENG 4830: Advanced Fiction Writing Seminar, taught by Dr. Erin Flanagan at Wright State University.

How To Recover From The Great Recession And Reduce The Government Debt, Hunter Cregger

Best Integrated Writing

Hunter Cregger proposes how to recover from the Great Recession of the 2000s and reduce government debt in this essay written for the Integrated Writing course EC 2050: Principles of Macroeconomics, taught by Dr. Hee Young Shin at Wright State University.

Inter-Tribal Disunity: An Analysis Of Inter-Tribal Conflict During The Black Hawk War Of 1832, Megan Bailey

Best Integrated Writing

Megan Bailey explores the effects of inter-tribal disunity and conflict on the Black Hawk War of 1832 in this essay written for the Integrated Writing course HST 3000: Introduction to Historical Analysis, taught by Dr. Noeleen McIlvenna at Wright State University.

Effects Of Caffeine And Vitamin E On Wisconsin Fast Plant, Sarah Ferguson

Best Integrated Writing

Sarah Ferguson examines the effects of caffeine and vitamin E on the growth of Wisconsin Fast Plant in this piece written for the Integrated Writing course BIO 3450: Concepts of Biology I for Early and Middle Childhood Education, taught by Mr. Len Kenyon at Wright State University.

Best Integrated Writing 2015 - Complete Edition

Best Integrated Writing

Best Integrated Writing includes excellent student writing from Integrated Writing courses taught at Wright State University. The journal is published annually by the Wright State University Department of English Language and Literatures.

Context-Driven Automatic Subgraph Creation For Literature-Based Discovery, Delroy H. Cameron, Ramakanth Kavuluru, Thomas Rindflesch, Amit P. Sheth, Krishnaprasad Thirunarayan, Olivier Bodenreider

Kno.e.sis Publications

Background: Literature-based discovery (LBD) is characterized by uncovering hidden associations in non-interacting scientific literature. Prior approaches to LBD include use of: 1) domain expertise and structured background knowledge to manually filter and explore the literature, 2) distributional statistics and graph-theoretic measures to rank interesting connections and 3) heuristics to help eliminate spurious connections. However, manual approaches to LBD are not scalable and purely distributional approaches may not be sufficient to obtain insights into the meaning of poorly understood associations. While several graph-based approaches have the potential to elucidate associations, their effectiveness has not been fully demonstrated. A considerable degree of …

Smart Data - How You And I Will Exploit Big Data For Personalized Digital Health And Many Other Activities, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

On Using Synthetic Social Media Stimuli In An Emergency Preparedness Functional Exercise, Andrew Hampton, Shreyansh Bhatt, Gary Alan Smith, Jeremy S. Brunn, Hemant Purohit, Valerie L. Shalin, John M. Flach, Amit P. Sheth

Kno.e.sis Publications

This paper details the creation and use of a massive (over 32,000 messages) artificially constructed 'Twitter' microblog stream for a regional emergency preparedness functional exercise. By combining microblog conversion, manual production, and a control set, we created a web based information stream providing valid, misleading, and irrelevant information to public information officers (PIOs) representing hospitals, fire departments, the local Red Cross, and city and county government officials. PIOs searched, monitored, and (through conventional channels) verified potentially actionable information that could then be redistributed through a personalized screen name. Our case study of a key PIO reveals several capabilities that social …