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

机译:射击与否:NLP接种疫苗接种方法检测的方法比较

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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.
机译:疫苗接种行为检测涉及预测收到/是否接受的人即将接受疫苗。我们在SMM4H研讨会上展示了我们提交的疫苗接种行为检测共享任务。我们的调查结果基于三种普遍的文本分类方法:基于规则,统计和深度学习的基础。我们的最终提交是:(1)统计分类器的集合,其中包含使用词汇的任务特定功能,语言处理工具和Word Embeddings;并且(2)具有预先训练的语言模型的LSTM分类器。

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