Abstract
AbstractLarge number of People are suffering from Chronic diseases these days. Numerous medications are available in the market for respective chronic diseases. Most of these drugs lead to Adverse Drug Reactions (ADR). Western countries USA, UK track the health of their citizens using data generated over social media platforms. Using reviews from the drug consumers we can determine the performance/ADR of the drug by using sentiment analysis. Most of the sentiment analysis models use SentiDocVec or SentiWordVec in their sentiment analysis models. But these consist of biological words like Asystole which will carry a large meaning but unidentified by popular vectorizers. Hence, we plan to develop a Novel Sentiment Analysis model with modern Bio-NLP techniques (Bio-SentVec and Bio-WordVec) using these techniques the sentiment analysis can be done more efficiently.KeywordsNLPSentiment AnalysisMachine LearningMedical DatasetTwitter Data
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