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Found 11 papers, 0 papers with code
HLP@UPenn at SemEval-2017 Task 4A: A simple, self-optimizing text classification system combining dense and sparse vectors
We present a simple supervised text classification system that combines sparse and dense vector representations of words, and generalized representations of words via clusters.
Detecting Personal Medication Intake in Twitter: An Annotated Corpus and Baseline Classification System
Social media sites (e. g., Twitter) have been used for surveillance of drug safety at the population level, but studies that focus on the effects of medications on specific sets of individuals have had to rely on other sources of data.
Social media mining for identification and exploration of health-related information from pregnant women
We hypothesize that we can use social media to identify cohorts of pregnant women and follow them over time to analyze crucial health-related information.
Data, tools and resources for mining social media drug chatter
In this paper, we discuss the preparation of these guidelines, outline the data sets prepared, and present an overview of our state-of-the-art systems for data collection, supervised classification, and information extraction.
Mining the Web for Pharmacovigilance: the Case Study of Duloxetine and Venlafaxine
Adverse reactions caused by drugs following their release into the market are among the leading causes of death in many countries.
