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Dr. Mota research interests are in the areas of data mining, database systems, programming languages, and cloud computing. Below are some projects that he is currently working on and that can involve motivated students who are interested in engaging in research activities.
Exploring Anti-Asian Racism on Twitter
Which types of threat perceptions appear in the racism-infused tweets against Asians reveal in the unique context of the COVID-19 pandemic? What drives harmful tweets to go viral? These are some of the questions that this research project aims to answer.
Skills: API, NoSQL databases, Python, NLP (Natural Language Processing), and statistics.
A Framework for Collaborative Recommendation Systems
Collaborative recommendation systems try to suggest products or services based on the degree of similarity between users. The goal of this project is to develop a framework that can be easily adapted to different recommendation systems based on databases available on the internet, such as Goodreads, Yelp, Tripadvisor, IMDb, among others.
Skills: API, web scraping, graph databases, Python, ranking algorithms, and statistics.
Data Mining Pipeline Architectures
When it comes to building data mining pipelines, there are many options available, from simple pipelines with small datasets that can fit in memory to more complex pipelines with real-time generated data simultaneously analyzed by different processes using cloud computing tools. Students working on this project will have the opportunity to study different data mining pipeline architectures using cutting-edge tools and techniques to solve real-world problems.
Skills: cloud computing, data mining, databases, programming languages.
Please email [email protected] if you are interested in any of these or for more information.