Mining Social Media
New technology interprets slang and banter to find out what people really think
Stephanie Sutton |
Pharma’s forays into the brave new world of social media have not always been successful (tmm.txp.to/0214/brave) – but mining social media for information has attracted a lot of attention. But how exactly do you extract meaningful data from online chatter?
“Most systems for extracting adverse drug reactions (ADRs) follow a dictionary-based approach. The main drawback of these systems is that they fail to recognize terms which are not included in the dictionary,” wrote Isabel Segura-Bedmar, Ricardo Revert and Paloma Martinezin in a recent paper (1). “In addition, the dictionary-based approach is not able to handle the large number of spelling and grammar errors in social media texts.”
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