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2018 EMNLP EMNLP 2018

Thumbs Up and Down: Sentiment Analysis of Medical Online Forums

Abstract

AbstractIn the current study, we apply multi-class and multi-label sentence classification to sentiment analysis of online medical forums. We aim to identify major health issues discussed in online social media and the types of sentiments those issues evoke. We use ontology of personal health information for Information Extraction and apply Machine Learning methods in automated recognition of the expressed sentiments.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Victoria Bobicev, Marina Sokolova

Topics

Machine Learning > Core Methods > Classification Natural Language Processing > Applications > Text Classification Natural Language Processing > Applications > Sentiment Analysis

Keywords

sentiment analysis text classification information extraction multi-label classification
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