AG
Dr. Aakansha Aggarwal
Tata Consultancy Services (India)
Research areas: Computer Science · Artificial Intelligence · Topic Modeling · COVID-19 epidemiological studies · Data-Driven Disease Surveillance
Employment
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Tata Consultancy Services System Engineer
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (22)
- Convolutional neural networks and transfer learning for medical image analysis: A comprehensive review Save
- A deep-SIQRV epidemic model for COVID-19 to access the impact of prevention and control measures Save
- Possibility of the COVID-19 third wave in India: mapping from second wave to third wave Save
- Socialympics - Sentiment analysis of tweets about the Tokyo Olympics 2021 using machine learning and deep learning approaches Save
- Analyzing the Effects of Text Representations on the Performance of Document Clustering in Public Health Tweets Save
- Artificial Eye for the Visually Impaired Save
- Automated News Summarization Using Transformers Save
- COVID-19 Cases Prediction Based on LSTM and SIR Model Using Social Media Save
- Context-Aware Emoji Prediction Using Deep Learning Save
- Deep embedding for mental health content on social media using vector space model with feature clusters Save
- Exploratory Data Analysis on Student Alcohol Consumption Save
- Extract It! Product Category Extraction by Transfer Learning Save
- iCAST: Impact of Climate on Assistive Scene Text detection for autonomous vehicles Save
- A Review of Various Mathematical and Deep Learning based Forecasting Methods for COVID-19 Pandemic Save
- Automated news summarization using transformers Save
- Human Mobility based Pandemic Prediction Model Save
- Improving document representation using KPCA and clustered word embeddings Save
- PAN-LDA: A latent Dirichlet allocation based novel feature extraction model for COVID-19 data using machine learning Save
- A literature review on sentiment analysis techniques involving social media platforms Save
- LDA Based model for mining textual features from financial news articles Save