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

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