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The Adverse Drug Effects (ADEs) are the harmful reaction towards a prescribed medicine. Pharmacovigilance is the effort to detect, assess and prevent ADEs. ADE detection in one of the most essential objective of post-marketing stage. Food and Drug Administration (FDA) uses the Adverse Event Reporting System (AERS) to monitor the reports of ADEs from pharmaceutical companies, doctors, hospital, patients and pharmacies. The major drawback is incomplete information, over-reporting on already documented ADEs and under-reporting of new ADEs. This paper concentrates on collecting tweets from Twitter which has the mentioned drug and identify the Adverse Drug Effects associated using NLP and classify them. The newly detected ADEs are reported by checking the detected ADE in a database where already reported ADEs are mentioned.
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