activity
20142016
most citedTowards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text

15 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2016

Improving Tweet Representations using Temporal and User Context

Ganesh J, Manish Gupta, Vasudeva Varma

In this work we propose a novel representation learning model which computes semantic representations for tweets accurately. Our model systematically exploits the chronologically a…

cs.CL20163 cited

Interpreting the Syntactic and Social Elements of the Tweet Representations via Elementary Property Prediction Tasks

J Ganesh, Manish Gupta, Vasudeva Varma

Research in social media analysis is experiencing a recent surge with a large number of works applying representation learning models to solve high-level syntactico-semantic tasks…

cs.CL201615 cited

Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text

Ameya Prabhu, Aditya Joshi, Manish Shrivastava +1

Sentiment analysis (SA) using code-mixed data from social media has several applications in opinion mining ranging from customer satisfaction to social campaign analysis in multili…

cs.IR20157 cited

Towards Deep Semantic Analysis Of Hashtags

Piyush Bansal, Romil Bansal, Vasudeva Varma

Hashtags are semantico-syntactic constructs used across various social networking and microblogging platforms to enable users to start a topic specific discussion or classify a pos…

cs.DC2014

Energy and SLA aware VM Scheduling

Radheshyam Nanduri, Dharmesh Kakadia, Vasudeva Varma

With the advancement of Cloud Computing over the past few years, there has been a massive shift from traditional data centers to cloud enabled data centers. The enterprises with cl…