Linguistic Data Science for the Development of a Business Corpus

This project is dedicated to the development of a new business corpus as a novel data for the company’s business intelligence. It focuses on linguistic pre-processing for the business domain using two types of collected corpora: text and speech. An automatic annotation of the pre-processed business corpus will be completed using labels related to sentiment analysis and emotion mining technologies. Specific rules will be used to strengthen these labels. Last, a cognitive social analysis on human behaviors and team dynamics will be completed within a business meeting.

Faculty Supervisor:

Fatiha Sadat

Student:

Alexandro Fernandes da Fonseca

Partner:

Winning Acuity Ltd

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

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