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Dr. Mota researchÌýinterests are in the areas of data mining, database systems, programming languages, and cloud computing.ÌýBelow are some projects thatÌýhe is currently working on andÌýthat can involve motivated students who are interested in engaging in research activities.Ìý
Exploring Anti-Asian Racism on TwitterÌý
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?ÌýThese are some of the questions that this research project aims to answer.
Skills: API,ÌýNoSQLÌýdatabases,ÌýPython,ÌýNLP (Natural Language Processing),ÌýandÌýstatistics.Ìý
A Framework forÌýCollaborativeÌýRecommendationÌýSystemsÌý
Collaborative recommendation systems tryÌýto suggestÌýproductsÌýor servicesÌýbased onÌýthe degree of similarity between users.ÌýÌýTheÌýgoalÌýof thisÌýprojectÌýisÌýto develop a framework that can be easily adapted to different recommendation systemsÌýbased on databases available on the internet, such asÌýGoodreads,ÌýYelp,ÌýTripadvisor,ÌýIMDb, among others.
Skills: API, web scraping, graph databases, Python, ranking algorithms, and statistics.
Data Mining PipelineÌýArchitectures
When it comes to building data mining pipelines, there are many options available, fromÌýsimpleÌýpipelines withÌýsmallÌýdatasetsÌýthat canÌýfit in memoryÌýto more complex pipelines with real-timeÌýgeneratedÌýdataÌýsimultaneouslyÌýanalyzedÌýby different processesÌýusing cloud computing tools.ÌýÌýStudents working on this project will have the opportunity to study different data mining pipeline architectures usingÌýcutting-edge tools and techniquesÌýto solve real-world problems.Ìý
Skills: cloud computing, data mining, databases, programming languages.
Please emailÌý[email protected]Ìýif you are interested in any of these or for more information.