Doc2Vec script is based on the following article https://towardsdatascience.com/multi-class-text-classification-with-doc2vec-logistic-regression-9da9947b43f4
The work based on creating the word embeddings for visualizing the embedding spaces is based on the following paper https://aaai.org/ojs/index.php/AAAI/article/view/4594
- Di Carlo, V., Bianchi, F., & Palmonari, M. (2019). Training Temporal Word Embeddings with a Compass. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 6326-6334. https://doi.org/10.1609/aaai.v33i01.33016326
Git: https://github.com/valedica/twec
Some of the jupyter notebooks in this repo were used as tools in different phases during the development of the model. The work cannot be reproduced simply by running all the notebooks and the notebook may not contain all the necessary code to reproduce the results.