Using Machine Learning Techniques to ImproveAutomatic Keyword Extraction from Textual Web Content

This internship aims to implement an advanced system for automatic keyword extraction from textual web contents. Keyword extraction not only provides a concise and salient representation of a document, but also can be used in web-based applications such as efficient indexing, intelligent tag recommendation, and contextual advertising. In this research project, a hybrid keyword extraction approach is proposed which combines the knowledge learned from an annotated dataset of manually extracted keywords with the knowledge
acquired by processing a huge unannotated corpus of data, using machine learning techniques.

Faculty Supervisor:

Greg Mori

Student:

Partner:

BroadbandTV

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Simon Fraser University

Program: