Enhancing Partially Labelled Data: Self Learning and Word Vectors in Natural Language Processing
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1.2 COMPUTER AND INFORMATION SCIENCE
There has been an explosion in unstructured text data in recent years with services like Twitter, Facebook and WhatsApp helping drive this growth. Many of these companies are facing pressure to monitor the content on their platforms and as such Natural Language Processing (NLP) techniques are more important than ever. There are many applications of NLP ranging from spam filtering, sentiment analysis of social media, automatic text summarisation and document classification.
McEntee. E. (2019) Enhancing Partially Labelled Data: Self Learning and Word Vectors in Natural Language Processing, Masters Thesis, Technological University Dublin.
A dissertation submitted in partial fulfillment of the requirements of Technological University Dublin for the degree of M.Sc. in Computing (Stream)