Original paper

Impact of In-domain Vector Representations on the Classification of Disease-related Tweets

Published: Sep 23, 2019
Abstract
A number of methods have been proposed for the construction of vector representations for natural language processing (NLP) tasks. These methods have been applied to various domains and each has its own pros and cons. Despite their effectiveness, the proposed approaches usually ignore the sentiment information concerning specific tasks. In this paper, we examined various types of word vectors and their impact on the performance of a sentiment...
Paper Details
Title
Impact of In-domain Vector Representations on the Classification of Disease-related Tweets
Published Date
Sep 23, 2019
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