Detecting Company-Specific Purchase Evidence from Twitter Posts

Delphia’s business model revolves around using proprietary data sets and data extraction techniques to inform its active trading strategies on the financial markets.  It has been shown that detecting when Twitter users post about recent or future purchases has the potential to increase the accuracy of company sales forecasts, which in turn can inform stock trading strategies. This internship project aims to develop automated means to detect and quantify purchase related posts on Twitter.

Faculty Supervisor:

Yang Xu

Student:

So Hyun Park

Partner:

Delphia Inc.

Discipline:

Computer science

Sector:

University:

Program:

Accelerate

Related projects

Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.

View all
Current openings

Find the perfect opportunity to put your academic skills and knowledge into practice!

Find Projects

Mitacs Partners

The strong support from governments across Canada, international partners, universities, colleges, companies, and community organizations has enabled Mitacs to focus on the core idea that talent and partnerships power innovation — and innovation creates a better future.

Government
Academic
Industry
Innovation

International

Load More

International

Load More

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe
Canada