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Found 7 papers, 1 papers with code
Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland
In the mining industry, many reports are generated in the project management process.
A Semi-automatic Data Extraction System for Heterogeneous Data Sources: A Case Study from Cotton Industry
With the recent developments in digitisation, there are increasing number of documents available online.
Nonnegative Matrix Factorization to understand Spatio-Temporal Traffic Pattern Variations during COVID-19: A Case Study
The outputs of the analysed spatio-temporal traffic pattern variation behaviours will be useful in the fields of traffic management in Intelligent Transportation System and management in various stages of pandemic or unavoidable scenarios in-relation to road traffic.
Understanding the Spatio-temporal Topic Dynamics of Covid-19 using Nonnegative Tensor Factorization: A Case Study
Social media platforms facilitate mankind a data-driven world by enabling billions of people to share their thoughts and activities ubiquitously.
Topic, Sentiment and Impact Analysis: COVID19 Information Seeking on Social Media
A systematic collection, analysis, and interpretation of social media data across time and space can give insights on local outbreaks, mental health, and social issues.
Columnwise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization
Coupled Matrix Tensor Factorization (CMTF) facilitates the integration and analysis of multiple data sources and helps discover meaningful information.
Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent
With the advancements in computing technology and web-based applications, data is increasingly generated in multi-dimensional form.
