most citedMaking a Case for Social Media Corpus for Detecting Depression

13 citations · 28 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CY2019

Clickbait in Education Positive or Negative? Machine Learning Answers

Adil Rajput

The topic of clickbait has garnered lot of attention since the advent of social media. Meriam-Webster defines Clickbait as something designed to make readers want to click on a hyp…

cs.CY2019

Using Crowdsourcing to Identify a Proxy of Socio-Economic status

Adil E. Rajput, Akila Sarirete, Tamer F. Desouky

Social Media provides researchers with an unprecedented opportunity to gain insight into various facets of human life. Health practitioners put a great emphasis on pinpointing soci…

cs.CY201910 cited

Big Data and Social/Medical Sciences: State of the Art and Future Trends

Adil E. Rajput, Samara M. Ahmed

The explosion of data on the internet is a direct corollary of the social media platform. With petabytes of data being generated by end users, the researchers have access to unprec…

cs.CL201913 cited

Making a Case for Social Media Corpus for Detecting Depression

Adil Rajput, Samara Ahmed

The social media platform provides an opportunity to gain valuable insights into user behaviour. Users mimic their internal feelings and emotions in a disinhibited fashion using na…

cs.CL2019

Natural Language Processing, Sentiment Analysis and Clinical Analytics

Adil Rajput

Recent advances in Big Data has prompted health care practitioners to utilize the data available on social media to discern sentiment and emotions expression. Health Informatics an…

cs.CR20195 cited

Characterizing IOMT/Personal Area Networks Landscape

Adil Rajput, Tayeb Brahimi

The attention garnered by the Internet of Things (IoT) term has taken the world by a storm. IOT concepts have been applied to various domains revolutionizing the way business proce…