TTLocVis: A Twitter Topic Location Visualization Package. The package TTLocVis provides a broad range of methods to generate, clean, analyze and visualize the contents of Twitter data. TTLocVis enables the user to work with geo-spatial Twitter data and to generate topic distributions from Latent Dirichlet Allocation (LDA) Topic Models for geo-coded Tweets. As such, TTLocVis is an innovative tool to work with geo-coded text on a high geo-spatial resolution to analyse the public discourse on various topics in space and time. The package can be used for a broad range of applications for scientific research to gain insights into topics discussed on Twitter.
Keywords for this software
References in zbMATH (referenced in 3 articles , 1 standard article )
Showing results 1 to 3 of 3.
- Andreas Buchmüller, Gillian Kant, Christoph Weisser, Benjamin Säfken, Krisztina Kis-Katos, Thomas Kneib: Twitmo: A Twitter Data Topic Modeling and Visualization Package for R (2022) arXiv
- Tan, Wai Hong; Chen, Feng: Predicting the popularity of tweets using internal and external knowledge: an empirical Bayes type approach (2021)
- Kant, G., Weisser, C., Säfken, B.: TTLocVis: A Twitter Topic Location Visualization Package (2020) not zbMATH