Beyond opinion classification: Extracting facts, opinions and experiences from health forums

PloS one, Volume 14, Issue 1, 2019.

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Other Links: pubmed.ncbi.nlm.nih.gov|academic.microsoft.com

Abstract:

Overall, we find that it is possible to predict the type of information contained in a forum post with a very high accuracy (over 80 percent) using simple text representations such as word embeddings and bags of words. We also analyze more complex features such as those based on the network properties, the polarity of words and the verbal...More

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