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Saeed Mian Qaisar

Biographic Data

ID9366476
NAMESaeed Mian Qaisar
GIVEN NAMESSaeed Mian
FAMILY NAMEQaisar
SIGNATUREQAISAR S M
AFFILIATIONSEffat University
ORCID0000-0002-4268-3482
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2021
H-INDEX0
  • Ontology-Enabled Emotional Sentiment Analysis on Covid-19 Pandemic-Related Twitter Streams

    Open Access•Senthil Kumar Narayanasamy, Kathiravan Srinivasan et al.•ARTICLE•Frontiers in Public Health•2021

    The exponential growth of social media users has changed the dynamics of retrieving the potential information from user-generated content and transformed the paradigm of information-retrieval mechanism with the novel developments on the concept of “web of data”. In this regard, our proposed Ontology-Based Sentiment Analysis provides two novel approaches: First, the emotion extraction on tweets related to COVID-19 is carried out by a well-formed t…

  • Performance Evaluation of Regression Models for the Prediction of the Covid-19 Reproduction Rate

    Open Access•Jayakumar Kaliappan, Kathiravan Srinivasan et al.•ARTICLE•Frontiers in Public Health•2021

    This paper aims to evaluate the performance of multiple non-linear regression techniques, such as support-vector regression (SVR), k-nearest neighbor (KNN), Random Forest Regressor, Gradient Boosting, and XGBOOST for COVID-19 reproduction rate prediction and to study the impact of feature selection algorithms and hyperparameter tuning on prediction. Sixteen features (for example, Total_cases_per_million and Total_deaths_per_million) related to si…

No prominent works on this page.

  • Ontology-Enabled Emotional Sentiment Analysis on Covid-19 Pandemic-Related Twitter Streams

    Open Access•Senthil Kumar Narayanasamy, Kathiravan Srinivasan et al.•ARTICLE•Frontiers in Public Health•2021

    The exponential growth of social media users has changed the dynamics of retrieving the potential information from user-generated content and transformed the paradigm of information-retrieval mechanism with the novel developments on the concept of “web of data”. In this regard, our proposed Ontology-Based Sentiment Analysis provides two novel approaches: First, the emotion extraction on tweets related to COVID-19 is carried out by a well-formed t…

  • Performance Evaluation of Regression Models for the Prediction of the Covid-19 Reproduction Rate

    Open Access•Jayakumar Kaliappan, Kathiravan Srinivasan et al.•ARTICLE•Frontiers in Public Health•2021

    This paper aims to evaluate the performance of multiple non-linear regression techniques, such as support-vector regression (SVR), k-nearest neighbor (KNN), Random Forest Regressor, Gradient Boosting, and XGBOOST for COVID-19 reproduction rate prediction and to study the impact of feature selection algorithms and hyperparameter tuning on prediction. Sixteen features (for example, Total_cases_per_million and Total_deaths_per_million) related to si…

Computer Science (2 works) · 2019-20 coronavirus outbreak (1 work) · Advanced Text Analysis Techniques (1 work) · Artificial Intelligence (1 work) · Complex Network Analysis Techniques (1 work) · Computer network (1 work) · COVID-19 diagnosis using AI (1 work) · COVID-19 epidemiological studies (1 work) · COVID-19 Pandemic Impacts (1 work) · Data science (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae