41 citations · 60 across the 5 of their papers we have counts for
5 papers
Contrastive Learning of Emoji-based Representations for Resource-Poor Languages
Nurendra Choudhary, Rajat Singh, Ishita Bindlish +1
The introduction of emojis (or emoticons) in social media platforms has given the users an increased potential for expression. We propose a novel method called Classification of Em…
Sentiment Analysis of Code-Mixed Languages leveraging Resource Rich Languages
Nurendra Choudhary, Rajat Singh, Ishita Bindlish +1
Code-mixed data is an important challenge of natural language processing because its characteristics completely vary from the traditional structures of standard languages. In this…
Emotions are Universal: Learning Sentiment Based Representations of Resource-Poor Languages using Siamese Networks
Nurendra Choudhary, Rajat Singh, Ishita Bindlish +1
Machine learning approaches in sentiment analysis principally rely on the abundance of resources. To limit this dependence, we propose a novel method called Siamese Network Archite…
Efficient FPGA Implementation of Conjugate Gradient Methods for Laplacian System using HLS
Sahithi Rampalli, Natasha Sehgal, Ishita Bindlish +2
In this paper, we study FPGA based pipelined and superscalar design of two variants of conjugate gradient methods for solving Laplacian equation on a discrete grid; the first versi…
Neural Network Architecture for Credibility Assessment of Textual Claims
Nurendra Choudhary, Rajat Singh, Ishita Bindlish +1
Text articles with false claims, especially news, have recently become aggravating for the Internet users. These articles are in wide circulation and readers face difficulty discer…