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Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection

2018-10-01 · WS 2018 10 · Aditya Joshi, Xiang Dai, Sarvnaz Karimi, Ross Sparks, C{\'e}cile Paris, C Raina MacIntyre

Vaccination behaviour detection deals with predicting whether or not a person received/was about to receive a vaccine. We present our submission for vaccination behaviour detection shared task at the SMM4H workshop. Our findings are based on three prevalent text classification approaches: rule-based, statistical and deep learning-based. Our final submissions are: (1) an ensemble of statistical classifiers with task-specific features derived using lexicons, language processing tools and word embeddings; and, (2) a LSTM classifier with pre-trained language models.

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General Classificationtext-classificationText ClassificationWord Embeddings

Methods 이 논문이 사용한 방법론

Sigmoid Activation 설명 없음
Tanh Activation 설명 없음
LSTM An LSTM is a type of recurrent neural network that addresses the vanishing gradient problem in vanilla…

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