Natural language processing for Market Intelligence

LeadSift is a marketing intelligence platform that generates qualified leads by using signals from the public web to identify which companies are in the market for specific products or services. The company does so by sifting through unstructured public data so companies can easily identify, understand and engage in-market audiences with creatively relevant, personalized outreach. LeadSift’s platform processes millions of posts a day (such as twitter, web pages, blogs, etc.) and these data points are passed on directly to the customers that make it into their automated workflows via an application programming interface (API). As a result, companies can move their pipeline faster than ever before and make informed decisions. Given the data volumes that LeadSift’s platform processes, the company would like to design a detailed data analytics plan that includes using natural language processing (NLP) and machine learning to organize, structure and get value from unstructured data.

Faculty Supervisor:

Pawan Lingras

Student:

Partner:

LeadSift Inc

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Saint Mary's University

Program: