152 citations · 306 across the 37 of their papers we have counts for
7 papers · 1 filter
Sequence-to-Set Semantic Tagging: End-to-End Multi-label Prediction using Neural Attention for Complex Query Reformulation and Automated Text Categorization
Manirupa Das, Juanxi Li, Eric Fosler-Lussier +5
Novel contexts may often arise in complex querying scenarios such as in evidence-based medicine (EBM) involving biomedical literature, that may not explicitly refer to entities or…
Towards Successful Social Media Advertising: Predicting the Influence of Commercial Tweets
Renhao Cui, Gagan Agrawal, Rajiv Ramnath
Businesses communicate using Twitter for a variety of reasons -- to raise awareness of their brands, to market new products, to respond to community comments, and to connect with t…
Learning to Answer Subjective, Specific Product-Related Queries using Customer Reviews by Adversarial Domain Adaptation
Manirupa Das, Zhen Wang, Evan Jaffe +3
Online customer reviews on large-scale e-commerce websites, represent a rich and varied source of opinion data, often providing subjective qualitative assessments of product usage…
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights
Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy +2
Reducing traffic accidents is an important public safety challenge, therefore, accident analysis and prediction has been a topic of much research over the past few decades. Using s…
Tweets Can Tell: Activity Recognition using Hybrid Long Short-Term Memory Model
Renhao Cui, Gagan Agrawal, Rajiv Ramnath
This paper presents techniques to detect the "offline" activity a person is engaged in when she is tweeting (such as dining, shopping or entertainment), in order to create a dynami…
A Countrywide Traffic Accident Dataset
Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy +1
Reducing traffic accidents is an important public safety challenge. However, the majority of studies on traffic accident analysis and prediction have used small-scale datasets with…
Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data
Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi +2
Pattern discovery in geo-spatiotemporal data (such as traffic and weather data) is about finding patterns of collocation, co-occurrence, cascading, or cause and effect between geos…