How does it work? See our computational solution, as well as the source code.
Make your corpus by creating text files. NLP Topic Modeling.
For the corpus generating process, our goal is to help users to build a corpus that includes the title and abstracts of the academic publications filtered by the user’s constraint.
We created a Python tool that is able to gather data from Springer Nature and create text files of these titles and abstracts, which will be ready for users to do further research, such as Natural Language Processing.
KnoGlo also offers an NLP Topic Modeling tool that runs on Jupyter Notebook. By looking at word clouds, it’s easy for users to analyze the topics that were mentioned the most in the corpus, which will help users take an in-depth look at the contents in a productive way.