This collection contains the final projects of the students in in the course Computer Science 4624: Multimedia, Hypertext, and Information Access, at Virginia Tech. This course, taught by Professor Ed Fox, is part of the Human-Computer Interaction track, the Knowledge, Information, and Data track, and the Media/Creative Computing track. The curriculum introduces the architectures, concepts, data, hardware, methods, models, software, standards, structures, technologies, and issues involved with: networked multimedia (e.g., image, audio, video) information, access and systems; hypertext and hypermedia; electronic publishing; virtual reality. Coverage includes text processing, search, retrieval, browsing, time-based performance, synchronization, quality of service, video conferencing and authoring.

Recent Submissions

  • AWS Tobacco Settlement Retrieval 

    Sitaula, Anamol; Mekap, Abhinandan; Kanuri, Aditya; Bossart, Douglas; Pokharel, Nishan; Ray, Rahul (Virginia Tech, 2020-05-14)
    The Tobacco Industry is one of the largest and most influential industries. It has spent hundreds of millions of dollars on advertising and marketing tactics to ensure dominance and control in the economy. This is especially ...
  • CS Information Session Reservation 

    O'Connor, Barbara; Moore, Nicole; Simoneaux, Quentin; Hoff, Michael (Virginia Tech, 2020-05-14)
    The CS Information Session Reservation project is an effort to assist recruiting procedures for the Computer Science department at Virginia Tech. The department has an ambassador program that is responsible for hosting ...
  • US State Tourism Websites 

    Shere, Danya; Ayub, Ahmad; Mueller, Rebecca; Fabian, Lexi; Shah, Akshat (Virginia Tech, 2020-05-11)
    In the United States, every state has a tourism website. These sites highlight the main attractions of the state, travel tips, and blog posts among other relevant information. The funding for these websites often comes ...
  • Stock Returns 

    Shi, Simon; Ray, Sayan; Sood, Yannik; Heck, David; Nguyen, Charles (Virginia Tech, 2020-05-13)
    The Stock Returns Project was to assist the research of our client, Ziqian Song, to analyze the language used in the financial news and social media discussions surrounding stock-related events, and to derive meaningful ...
  • BikeVT - VTTI Cross-Platform Mobile Application 

    Drake, Devin; Soohoo, Lucas; Frigault, Alex; Larsen, Sam (Virginia Tech, 2020-05-13)
    The main goal of the project, VTTI Bike Mobile App (VBMA), is to create a mobile app for bike data collection for the Virginia Tech Transportation Institute. The mobile app will be cross-platform to operate on both iOS and ...
  • Airbnb Scraping 

    Yu, Wang; Huang, Baokun; Liu, Han; Pham, Vinh; Nikolov, Alexander (Virginia Tech, 2020-05-13)
    Inside Airbnb is a project by Murray Cox, a digital storyteller, who visualized Airbnb data that was scraped by author and coder Tom Slee. The website offers scraped Airbnb data for select cities around the world; historically ...
  • Food Safety Site 

    Gehr, Zachary; Mehta, Mahek; Mishra, Prateek; Lew, Kiel; Perera, Chanaka; Nguyen, Tim (Virginia Tech, 2020-05-06)
    The goal of our project is to provide a resource to empower farmers market vendors to incorporate safe food handling practices. Our client, Minh Duong, would like to target farmers market growers and vendors who do not ...
  • Text Data Mining Studio ETDs 

    Rielage, Robert; Brinkley, Hannah; Dy, Christian; Vaanjilnorov, Jason (Virginia Tech, 2020-05-11)
    The goal of the Text Data Mining Studio ETD project was to develop a software system that allows less technically-minded researchers to be able to easily access a vast amount of data to be used for text data analytics. ...
  • Twitter Disaster Behavior 

    Thackaberry, Taylor; Bogemann, Kayley; Burchard, Shane; Butler, Jessie; Spencer, Austin (Virginia Tech, 2020-05-05)
    The purpose of the Twitter Disaster Behavior project is to identify patterns in online behavior during natural disasters by analyzing Twitter data. The main goal is to better understand the needs of a community during and ...
  • Deep Learning Course 

    Robinson, Matthew; Whelan, Andrew; Burton, Samuel; Bolon, Brendan; Ellis, Harrison (Virginia Tech, 2020-05-12)
    Deep Learning Course is an open-source course on deep learning topics hosted on GitHub in the Machine Learning Mindset repository built with the guidance of our client, Amirsina Torfi. We have designed and created four ...
  • Music Survey 

    Makkena, Yash; Save, Mrinal; Tran, Kelly; Yuksel, Mehmet (Virginia Tech, 2020-05-12)
    The main goal of this project was to create an interactive website to survey students about their course perceptions as related to the MUSIC model of learning. The MUSIC Model of Motivation Inventory is a survey developed ...
  • AWS Document Retrieval 

    Kim, Daniel; Durah, Fadi; Pleimling, Xavier; Le, Brandon; Hwang, Matthew (Virginia Tech, 2020-05-05)
    In the course CS5604 Information Retrieval, the class built a functioning search engine/information retrieval system on the Computer Science Container Cluster. The objective of the original project was to create a system ...
  • Efficient Web Archive Searching 

    Cheng, Ming; Wu, Yijing; Zhou, Xiaolin; Li, Jinyang; Zhang, Lin (Virginia Tech, 2020-05)
    The field of efficient web archive searching is at a turning point. In the early years of web archive searching, the organizations only use the URL as a key to search through the dataset, which is inefficient but acceptable. ...
  • Vocalization Detection 

    Bui, Dat (Virginia Tech, 2020-05-11)
    DeepSqueak is a deep-learning based system for detection and analysis of ultrasonic vocalizations. The original DeepSqueak model was created by Kevin R. Coffey, Russel G. Marx, and John F. Neumaier. Rodents engage in ...
  • Twitter-Based Knowledge Graph for Researchers 

    Meno, Emma; Vincent, Kyle (Virginia Tech, 2020-05-12)
    The Twitter-Based Knowledge Graph for Researchers project is an effort to construct a knowledge graph of computation-based tasks and corresponding outputs. It will be utilized by subject matter experts, statisticians, and ...
  • Cholera Database 

    Croxall, Emily; Roberto, Michael; Sharma, Hemakshi; Alcantara, Gabriela; García Solares, Andrés (Virginia Tech, 2020-05-12)
    This project involved work toward a database of Cholera records from 2010 – 2020. The WHO repository was used to extract and normalize data to build CSV files. Each year where data is available has a CSV file containing ...
  • Deep Learning - Predicting Accidents 

    Gorine, Elias; Smethurst, Jacob; Khagani, Farnaz (Virginia Tech, 2020-05-06)
    The Deep Learning Predicting Accidents project was completed during the Spring 2020 semester as part of the Computer Science capstone course CS 4624: Multimedia, Hypertext, and Information Access. The goal of the project ...
  • Twitter Role Classification 

    Pickett, Gregory; Worden, Kenneth; Wilborn, Adam (Virginia Tech, 2019-05-08)
    The main goal of this project is to provide a web application that will host the existing TWIROLE model. According to its originators, “TWIROLE, [is] a hybrid model for role-related user classification on Twitter, which ...
  • Automated Exercises 

    Cunningham, Clayton; Mokuvos, Jacob; Li, Mingchi; Zhou, Shuhao; Liu, Shengwei (Virginia Tech, 2019-05-12)
    The goal of the Automated Exercises project is to create an automated assessment exercise framework which will allow instructors to build a number of different exercises for the Formal Languages course by uploading a JFLAP ...
  • PrepLab: Web 

    Bond, Andrew H.; McKim, Steven C.; Kendrick, Nathan R. (Virginia Tech, 2019-05-10)
    PrepLab is a proposed online repository to aid instructors in the remixing and reuse of instructional materials (e.g., syllabi, assignments, learning activities, facilitated discussions, etc.). To facilitate easy adoption ...

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