2 citations · 5 across the 5 of their papers we have counts for
5 papers
EnDSUM: Entropy and Diversity based Disaster Tweet Summarization
Piyush Kumar Garg, Roshni Chakraborty, Sourav Kumar Dandapat
The huge amount of information shared in Twitter during disaster events are utilized by government agencies and humanitarian organizations to ensure quick crisis response and provi…
Finding Representative Sampling Subsets in Sensor Graphs using Time Series Similarities
Roshni Chakraborty, Josefine Holm, Torben Bach Pedersen +1
With the increasing use of IoT-enabled sensors, it is important to have effective methods for querying the sensors. For example, in a dense network of battery-driven temperature se…
Detecting Stance in Tweets : A Signed Network based Approach
Roshni Chakraborty, Maitry Bhavsar, Sourav Kumar Dandapat +1
Identifying user stance related to a political event has several applications, like determination of individual stance, shaping of public opinion, identifying popularity of governm…
SigGAN : Adversarial Model for Learning Signed Relationships in Networks
Roshni Chakraborty, Ritwika Das, Joydeep Chandra
Signed link prediction in graphs is an important problem that has applications in diverse domains. It is a binary classification problem that predicts whether an edge between a pai…
Predicting Tomorrow's Headline using Today's Twitter Deliberations
Roshni Chakraborty, Abhijeet Kharat, Apalak Khatua +2
Predicting the popularity of news article is a challenging task. Existing literature mostly focused on article contents and polarity to predict popularity. However, existing resear…