Laboratory for Data Science and Analytics @ South Asian University

Publications

conteNXt: A Graph-Based Approach to Assimilate Content and Context for Event Detection in OSN

DeepCKID: A Multi-Head Attention-Based Deep Neural Network Model Leveraging Classwise Knowledge to Handle Imbalanced Textual Data

The Dark Crypto World!

The role of lifelong machine learning in bridging the gap between human and machine learning: A scientometric analysis

A MapReduce-Based Approach for Fast Connected Components Detection from Large-Scale Networks

Contextualized Satire Detection in Short Texts Using Deep Learning Techniques

SKEDS - An External Knowledge Supported Logistic Regression Approach for Document-level Sentiment Classification

Efficient Subgraph Isomorphism Finding in Large Graphs using Eccentricity and Limiting Recursive Calls

A Multi-Task Learning Framework using Graph Attention Network for User Stance and Rumor Veracity Prediction

An Emotion-Enriched and Psycholinguistics Features-Based Approach for Rumor Detection on Online Social Media

proBE - A BERTweet-Attentive Prototype Few-shot Model for Event Detection in OSN

An Unseen Features-Enriched Lifelong Machine Learning Framework

An Unseen Features Enhanced Text Classification Approach

Skull stripping on multimodal brain MRI scans using thresholding and morphology

A Comprehensive Empirical Evaluation of Existing Word Embedding Approaches

SbChain+: An Enhanced Snowball-Chain Approach for Detecting Communities in Social Graphs

DeepADA: An Attention-Based Deep Learning Framework for Augmenting Imbalanced Textual Datasets

Compact Residual Learning with Frequency-Based Non-Square Kernels for Small Footprint Keyword Spotting

MINDS: A Multi-label Emotion and Sentiment Classification Dataset Related to COVID-19

Tutorial on Legal Text Analytics

KEvent - A Semantic-Enriched Graph-Based Approach Capitalizing Bursty Keyphrases for Event Detection in OSN

ADA: An Attention-Based Data Augmentation Approach to Handle Imbalanced Textual Datasets

A Graph-Based Approach Leveraging Posts and Reactions for Detecting Rumors on Online Social Media

A Hybrid Recommendation Technique using Topic Embedding for Rating Prediction and to Handle Cold-Start Problem

Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics

OvSbChain: An Enhanced Snowball Chain Approach for Detecting Overlapping Communities in Social Graphs

DeepSBD: A Deep Neural Network Model With Attention Mechanism for SocialBot Detection

CAT-BiGRU: Convolution and Attention with Bi-directional Gated Recurrent Unit for Self-Deprecating Sarcasm Detection

A Machine Learning Approach for Socialbot Targets Detection on Twitter

An Efficient Subgraph Isomorphism Solver for Large Graphs

P2DF: A Privacy-Preserving Digital Forensics Framework

A Survey of Figurative Language and its Computational Detection in Online Social Networks

Socialbots: Impacts, Threat-Dimensions, and Defense Challenges

A Hierarchical Attention-Based Neural Network Model for Socialbot Detection in OSN

Document-Level Sentiment Analysis through Incorporating Prior Domain Knowledge into Logistic Regression

A Social Media Time-Series Data Analytics Approach for Digital Epidemiology

Exploring Molecular Descriptors and Fingerprints to Predict mTOR Kinase Inhibitors using Machine Learning Techniques

CAMO: A Context-Aware Movie Ontology Generated from LOD and Movie Databases

CRecSys: A Context-Based Recommender System Using Collaborative Filtering and LOD

A Trust-Based Collaborative Filtering Approach to Design Recommender Systems

Using SMOTE to Deal with Class-Imbalance Problem in Bioactivity Data to Predict mTOR Inhibitors

A Socialbots Analysis-Driven Graph-Based Approach for Identifying Coordinated Campaigns in Twitter

A Contextual Semantic-Based Approach for Domain-Centric Lexicon Expansion

DRCoVe: An AugmentedWord Representation Approach using Distributional and Relational Context

DiseaSE: A Biomedical Text Analytics System for Disease Symptom Extraction and Characterization

Scaling Density-Based Community Detection to Large-Scale Social Networks via MapReduce Framework

Self-Deprecating Humor Detection: A Machine Learning Approach

An LSTM-Based Deep Learning Approach for Detecting Self-Deprecating Sarcasm in Textual Data

A Novel Snowball-Chain Approach for Detecting Community Structures in Social Graphs

A Graph-Theoretic Embedding-Based Approach for Rumor Detection in Twitter

SentiLangN: A Language-Neutral Graph-Based Approach for Sentiment Analysis in Microblogging Data

A Multilayer Perceptron Architecture for Detecting Deceptive Cryptocurrencies in Coin Market Capitalization Data

Multi-Label Classification of Microblogging Texts Using Convolution Neural Network

Trust and Context-based Rating Prediction using Collaborative Filtering: A Hybrid Approach

Context-Based Rating Prediction using Collaborative Filtering and Linked Open Data

A Multi-Attributed Graph-Based Approach for Text Data Modeling and Event Detection in Twitter

OMCR: An Opinion-Based Multi-Criteria Ranking Approach

SubISO: A Scalable and Novel Approach for Subgraph Isomorphism Search in Large Graph

A Text Data Augmentation Approach for Improving the Performance of CNN

A Hybrid Approach for Detecting Automated Spammers in Twitter

Modeling Topic Evolution in Twitter: An Embedding-Based Approach

Advances in Digital Forensics Frameworks and Tools: A Comparative Insight and Ranking

Self-Deprecating Sarcasm Detection: An Amalgamation of Rule-Based and Machine Learning Approach

A Layered Approach for Summarization and Context Learning from Microblogging Data

Predicting JNK1 Inhibitors Regulating Autophagy in Cancer using Random Forest Classifier

Biomedical Text Analytics for Characterizing Climate-Sensitive Disease

A Novel Weighted Distance Measure for Multi-Attributed Graph

Efficient Processing of SPARQL Queries Over GraphFrames

Identifying Active, Reactive, and Inactive Targets of Socialbots in Twitter

A Unified Framework for Community Structure Analysis in Dynamic Social Networks

Why a Socialbot is Effective in Twitter? A Statistical Insight

OntoLSA - An Integrated Text Mining System for Ontology Learning and Sentiment Analysis

Ranking Radically Influential Web Forum Users

OCMiner: A Density-Based Overlapping Community Detection Method for Social Networks

BiSAL - A bilingual sentiment analysis lexicon to analyze Dark Web forums for cyber security

Classifier Ensembles using Structural Features for Spammer Detection in Online Social Networks

Twitter Data Mining for Events Classification and Analysis

Data Warehousing Based Computer Forensics Investigation Framework

HOCTracker: Tracking the Evolution of Hierarchical and Overlapping Communities in Dynamic Social Networks