activity
20182026
most citedGated Recurrent Neural Network Approach for Multilabel Emotion Detection in Microblogs

17 citations · 20 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DB2026

Enzyme: Incremental View Maintenance for Data Engineering

Ritwik Yadav, Supun Abeysinghe, Min Yang +16

Materialized views are a core construct in database systems, used to accelerate analytical queries and optimize batch pipelines for extract-transform-load (ETL) workflows. Maintain…

cs.PL2023

Architecting Intermediate Layers for Efficient Composition of Data Management and Machine Learning Systems

Supun Abeysinghe, Fei Wang, Gregory Essertel +1

Modern data analytics workloads combine relational data processing with machine learning (ML). Most DBMS handle these workloads by offloading these ML operations to external specia…

cs.PL2023★ 2 cited

Graph IRs for Impure Higher-Order Languages (Technical Report)

Oliver Bračevac, Guannan Wei, Songlin Jia +4

This is a companion report for the OOPSLA 2023 paper of the same title, presenting a detailed end-to-end account of the graph IR, at a level of detail beyond a r…

cs.CL2019★ 17 cited

Gated Recurrent Neural Network Approach for Multilabel Emotion Detection in Microblogs

Prabod Rathnayaka, Supun Abeysinghe, Chamod Samarajeewa +5

People express their opinions and emotions freely in social media posts and online reviews that contain valuable feedback for multiple stakeholders such as businesses and political…

cs.IR2018

Enhancing Decision Making Capacity in Tourism Domain Using Social Media Analytics

Supun Abeysinghe, Isura Manchanayake, Chamod Samarajeewa +5

Social media has gained an immense popularity over the last decade. People tend to express opinions about their daily encounters on social media freely. These daily encounters incl…

cs.CL2018★ 1 cited

Sentylic at IEST 2018: Gated Recurrent Neural Network and Capsule Network Based Approach for Implicit Emotion Detection

Prabod Rathnayaka, Supun Abeysinghe, Chamod Samarajeewa +2

In this paper, we present the system we have used for the Implicit WASSA 2018 Implicit Emotion Shared Task. The task is to predict the emotion of a tweet of which the explicit ment…