NORMALIZING TWITTER
نویسندگان
چکیده
منابع مشابه
Team UKNLP: Detecting ADRs, Classifying Medication Intake Messages, and Normalizing ADR Mentions on Twitter
This paper describes the systems we developed for all three tasks of the 2nd Social Media Mining for Health Applications Shared Task at AMIA 2017. The first task focuses on identifying the Twitter posts containing mentions of adverse drug reactions (ADR). The second task focuses on automatic classification of medication intake messages (among those containing drug names) on Twitter. The last ta...
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We describe TweeTIME, a temporal tagger for recognizing and normalizing time expressions in Twitter. Most previous work in social media analysis has to rely on temporal resolvers that are designed for well-edited text, and therefore suffer from the reduced performance due to domain mismatch. We present a minimally supervised method that learns from large quantities of unlabeled data and require...
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The use of computer mediated communication has resulted in a new form of written text—Microtext—which is very different from well-written text. Tweets and SMS messages, which have limited length and may contain misspellings, slang, or abbreviations, are two typical examples of microtext. Microtext poses new challenges to standard natural language processing tools which are usually designed for ...
متن کاملNormalizing Rejection.
Getting turned down for grant funding or having a manuscript rejected is an uncomfortable but not unusual occurrence during the course of a nurse researcher's professional life. Rejection can evoke an emotional response akin to the grieving process that can slow or even undermine productivity. Only by "normalizing" rejection, that is, by accepting it as an integral part of the scientific proces...
متن کاملProcessing and Normalizing Hashtags
We present ongoing work in linguistic processing of hashtags in Twitter text, with the goal of supplying normalized hashtag content to be used in more complex natural language processing (NLP) tasks. Hashtags represent collectively shared topic designators with considerable surface variation that can hamper semantic interpretation. Our normalization scripts allow for the lexical consolidation a...
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ژورنال
عنوان ژورنال: Journalism Studies
سال: 2012
ISSN: 1461-670X,1469-9699
DOI: 10.1080/1461670x.2011.571825