Home » Academics Calendar » Extract Meaning from Text using Word Embeddings
Speaker: Paula Lauren
In this talk, I will explain the use of word embeddings and how they are used to derive meaning from text. Word embeddings are a numerical representation of words (also known as distributional word vectors) based on word pair co-occurrences from a corpus. In addition, I will present an overview of some of my past, recent, and current research projects leveraging word embeddings in various computing tasks. Since this seminar series is geared towards MCS2111 students, I will also incorporate a teaching part at the end of my talk to discuss my text mining and analytics course along with methodology towards senior projects and directed study.
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