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Semantic Classification of Short Texts
This project consist in researching and implementing a set of algorithms to do semantic classification of short texts in social networks. The classification task consists in identifying relevant posts from social network in a specific context .Calculating the relevance of a posts is a difficult task that can be solved using semantic analysis. The goal of this project is to solve this problem with a high accuracy and precision. The resulting system will be used by nGauge to improve the efficiency and accuracy of their services.
Faculty Supervisor:
Dr. Philippe Fournier-Viger
Student:
Eric Snow
Partner:
nGauge Inc.
Discipline:
Computer science
Sector:
Media and communications
University:
Université de Moncton
Program:
Accelerate
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