Did you take the pill? - Detecting Personal Intake of Medicine from Twitter

no code implementations • 3 Aug 2018 • Debanjan Mahata, Jasper Friedrichs, Rajiv Ratn Shah, Jing Jiang

We believe that the developed classifier has direct uses in the areas of psychology, health informatics, pharmacovigilance and affective computing for tracking moods, emotions and sentiments of patients expressing intake of medicine in social media.

#phramacovigilance - Exploring Deep Learning Techniques for Identifying Mentions of Medication Intake from Twitter

no code implementations • 16 May 2018 • Debanjan Mahata, Jasper Friedrichs, Hitkul, Rajiv Ratn Shah

Mining social media messages for health and drug related information has received significant interest in pharmacovigilance research.

InfyNLP at SMM4H Task 2: Stacked Ensemble of Shallow Convolutional Neural Networks for Identifying Personal Medication Intake from Twitter

no code implementations • 21 Mar 2018 • Jasper Friedrichs, Debanjan Mahata, Shubham Gupta

This paper describes Infosys's participation in the "2nd Social Media Mining for Health Applications Shared Task at AMIA, 2017, Task 2".

General Classification Task 2

TSA-INF at SemEval-2017 Task 4: An Ensemble of Deep Learning Architectures Including Lexicon Features for Twitter Sentiment Analysis

no code implementations • SEMEVAL 2017 • Amit Ajit Deshmane, Jasper Friedrichs

This paper describes the submission of team TSA-INF to SemEval-2017 Task 4 Subtask A.

General Classification text-classification +2

IIP at SemEval-2016 Task 4: Prioritizing Classes in Ensemble Classification for Sentiment Analysis of Tweets

no code implementations • SEMEVAL 2016 • Jasper Friedrichs

General Classification Sentiment Analysis