/TemporalTopicModelling-Pachinko

Temporal Topic Modelling (Topic Evolution Analysis) using the Pachinko Allocation model

Primary LanguageJupyter NotebookMIT LicenseMIT

Temporal Topic Modelling with Pachinko Allocation

This repository contains code for the modelling part of the "A Sustainable West? Analyzing Clusters of Public Opinion in Sustainability Western Discourses in a Collection of Multilingual Newspapers (1999-2018)" paper.

Content

It includes code for the Topic Modelling, Topic Clustering and Topic Evolution.

  1. pachinko_model.ipynb uses the Pachinko Allocation model to find topics in a set of documents (it also contains information on the finetuning of parameters and sentiment analysis,
  2. topic_similarity.ipynb analyzes the relationships between the topics of different corpora (that were identified by PA model, you can apply same pipeline to other Topic Modelling Models) - topic similarity, topic clustering, topic evolution and sentiment analysis.

How to cite

Zenodo Preprint

@article{fernandez2023sustainable,
  author       = {Elena Fernández Fernández and Germans Savcisens},
  title        = {{"A Sustainable West? Analyzing Clusters of Public Opinion in Sustainability Western Discourses in a Collection of Multilingual Newspapers (1999-2018)"}},
  month        = mar,
  year         = 2023,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.7742461},
  url          = {https://doi.org/10.5281/zenodo.7742461}
}