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WME: Sense, Polarity and Affinity based Concept Resource for Medical Events
In order to overcome the lack of medical corpora, we have developed a WordNet for Medical Events (WME) for identifying medical terms and their sense related information using a seed list.
Classification of COVID19 tweets using Machine Learning Approaches
The steps for pre-processing tweets, feature extraction, and the development of the machine learning models, are described extensively in the documentation.
WME 3.0: An Enhanced and Validated Lexicon of Medical Concepts
Information extraction in the medical domain is laborious and time-consuming due to the insufficient number of domain-specific lexicons and lack of involvement of domain experts such as doctors and medical practitioners.
JUNLP at IJCNLP-2017 Task 3: A Rank Prediction Model for Review Opinion Diversification
IJCNLP-17 Review Opinion Diversification (RevOpiD-2017) task has been designed for ranking the top-k reviews of a product from a set of reviews, which assists in identifying a summarized output to express the opinion of the entire review set.
Tracing Linguistic Relations in Winning and Losing Sides of Explicit Opposing Groups
Linguistic relations in oral conversations present how opinions are constructed and developed in a restricted time.
