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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