21 citations · 77 across the 17 of their papers we have counts for
6 papers · 1 filter
Kiki Kills: Identifying Dangerous Challenge Videos from Social Media
Nupur Baghel, Yaman Kumar, Paavini Nanda +3
There has been upsurge in the number of people participating in challenges made popular through social media channels. One of the examples of such a challenge is the Kiki Challenge…
Did you take the pill? - Detecting Personal Intake of Medicine from Twitter
Debanjan Mahata, Jasper Friedrichs, Rajiv Ratn Shah +1
Mining social media messages such as tweets, articles, and Facebook posts for health and drug related information has received significant interest in pharmacovigilance research. S…
Theme-weighted Ranking of Keywords from Text Documents using Phrase Embeddings
Debanjan Mahata, John Kuriakose, Rajiv Ratn Shah +2
Keyword extraction is a fundamental task in natural language processing that facilitates mapping of documents to a concise set of representative single and multi-word phrases. Keyw…
A Multimodal Approach to Predict Social Media Popularity
Mayank Meghawat, Satyendra Yadav, Debanjan Mahata +3
Multiple modalities represent different aspects by which information is conveyed by a data source. Modern day social media platforms are one of the primary sources of multimodal da…
#phramacovigilance - Exploring Deep Learning Techniques for Identifying Mentions of Medication Intake from Twitter
Debanjan Mahata, Jasper Friedrichs, Hitkul +1
Mining social media messages for health and drug related information has received significant interest in pharmacovigilance research. Social media sites (e.g., Twitter), have been…
InfyNLP at SMM4H Task 2: Stacked Ensemble of Shallow Convolutional Neural Networks for Identifying Personal Medication Intake from Twitter
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". Mining social media messages for health and…