Deep and Temporal Ontology Guided Clustering Methods and Representation Learning for Topic Detection and Tracking
This repository is the code for the thesis entitled "Deep and Temporal Ontology Guided Clustering Methods and Representation Learning for Topic Detection and Tracking".
For the dataset, please visit: doi:10.17632/xn474x8hvf.1
To cite the work:
S Vahidnia, A Abbasi, HA Abbass, A Temporal Ontology Guided Clustering Methodology with a Case Study on Detection and Tracking of Artificial Intelligence Topics. Available at SSRN http://dx.doi.org/10.2139/ssrn.4200134
S Vahidnia, A Abbasi, HA Abbass, Embedding-based Detection and Extraction of Research Topics from Academic Documents Using Deep Clustering. Journal of Data and Information Science, 2021
Deep and Temporal Ontology Guided Clustering Methods and Representation Learning for Topic Detection and Tracking by Sahand Vahidnia is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://github.com/sahandv/TDT.
