62 citations · 153 across the 16 of their papers we have counts for
19 papers
Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health
Chandreen Liyanage, Muskan Garg, Vijay Mago +1
Amid ongoing health crisis, there is a growing necessity to discern possible signs of Wellness Dimensions (WD) manifested in self-narrated text. As the distribution of WD on social…
Towards FATE in AI for Social Media and Healthcare: A Systematic Review
Aditya Singhal, Hasnaat Tanveer, Vijay Mago
As artificial intelligence (AI) systems become more prevalent, ensuring fairness in their design becomes increasingly important. This survey focuses on the subdomains of social med…
An Annotated Dataset for Explainable Interpersonal Risk Factors of Mental Disturbance in Social Media Posts
Muskan Garg, Amirmohammad Shahbandegan, Amrit Chadha +1
With a surge in identifying suicidal risk and its severity in social media posts, we argue that a more consequential and explainable research is required for optimal impact on clin…
NODDLE: Node2vec based deep learning model for link prediction
Kazi Zainab Khanam, Aditya Singhal, Vijay Mago
Computing the probability of an edge's existence in a graph network is known as link prediction. While traditional methods calculate the similarity between two given nodes in a sta…
CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Posts
Muskan Garg, Chandni Saxena, Veena Krishnan +4
Research community has witnessed substantial growth in the detection of mental health issues and their associated reasons from analysis of social media. We introduce a new dataset…
A Survey on Automated Sarcasm Detection on Twitter
Bleau Moores, Vijay Mago
Automatic sarcasm detection is a growing field in computer science. Short text messages are increasingly used for communication, especially over social media platforms such as Twit…
Collision Detection: An Improved Deep Learning Approach Using SENet and ResNext
Aloukik Aditya, Liudu Zhou, Hrishika Vachhani +2
In recent days, with increased population and traffic on roadways, vehicle collision is one of the leading causes of death worldwide. The automotive industry is motivated on develo…
AdCOFE: Advanced Contextual Feature Extraction in Conversations for emotion classification
Vaibhav Bhat, Anita Yadav, Sonal Yadav +2
Emotion recognition in conversations is an important step in various virtual chat bots which require opinion-based feedback, like in social media threads, online support and many m…
Automating Transfer Credit Assessment in Student Mobility -- A Natural Language Processing-based Approach
Dhivya Chandrasekaran, Vijay Mago
Student mobility or academic mobility involves students moving between institutions during their post-secondary education, and one of the challenging tasks in this process is to as…
Validating Optimal COVID-19 Vaccine Distribution Models
Mahzabeen Emu, Dhivya Chandrasekaran, Vijay Mago +1
With the approval of vaccines for the coronavirus disease by many countries worldwide, most developed nations have begun, and developing nations are gearing up for the vaccination…
TweetBERT: A Pretrained Language Representation Model for Twitter Text Analysis
Mohiuddin Md Abdul Qudar, Vijay Mago
Twitter is a well-known microblogging social site where users express their views and opinions in real-time. As a result, tweets tend to contain valuable information. With the adva…
Comparative analysis of word embeddings in assessing semantic similarity of complex sentences
Dhivya Chandrasekaran, Vijay Mago
Semantic textual similarity is one of the open research challenges in the field of Natural Language Processing. Extensive research has been carried out in this field and near-perfe…
The Homophily Principle in Social Network Analysis
Kazi Zainab Khanam, Gautam Srivastava, Vijay Mago
In recent years, social media has become a ubiquitous and integral part of social networking. One of the major attentions made by social researchers is the tendency of like-minded…
A summary of the prevalence of Genetic Algorithms in Bioinformatics from 2015 onwards
Mekaal Swerhun, Jasmine Foley, Brandon Massop +1
In recent years, machine learning has seen an increasing presencein a large variety of fields, especially in health care and bioinformatics.More specifically, the field where machi…
A Survey on Text Simplification
Punardeep Sikka, Vijay Mago
Text Simplification (TS) aims to reduce the linguistic complexity of content to make it easier to understand. Research in TS has been of keen interest, especially as approaches to…
A Supervised Learning Approach For Heading Detection
Sahib Singh Budhiraja, Vijay Mago
As the Portable Document Format (PDF) file format increases in popularity, research in analysing its structure for text extraction and analysis is necessary. Detecting headings can…
Are we on the same learning curve: Visualization of Semantic Similarity of Course Objectives
Atish Pawar, Sahib Budhiraja, Daniel Kivi +1
The course description provided by instructors is an important piece of information as it defines what is expected from the instructor and what he/she is going to deliver during a…
Similarity between Learning Outcomes from Course Objectives using Semantic Analysis, Blooms taxonomy and Corpus statistics
Atish Pawar, Vijay Mago
The course description provided by instructors is an essential piece of information as it defines what is expected from the instructor and what he/she is going to deliver during a…
Calculating the similarity between words and sentences using a lexical database and corpus statistics
Atish Pawar, Vijay Mago
Calculating the semantic similarity between sentences is a long dealt problem in the area of natural language processing. The semantic analysis field has a crucial role to play in…