CSO-Classifier available on PIP


PyPI version
DOI

Classifying research papers according to their research topics is an important task to improve their retrievability, assist the creation of smart analytics, and support a variety of approaches for analysing and making sense of the research environment. In this repository, we present the CSO Classifier, a new unsupervised approach for automatically classifying research papers according to the Computer Science Ontology (CSO), a comprehensive ontology of research areas in the field of Computer Science. The CSO Classifier takes as input the metadata associated with a research paper (title, abstract, keywords) and returns a selection of research concepts drawn from the ontology. The approach was evaluated on a gold standard of manually annotated articles yielding a significant improvement over alternative methods.

Installation using PIP

  1. Ensure you have Python 3.6 or above installed. Download latest version.
  2. Use pip to install the classifier: pip install cso-classifier
  3. Download English package for spaCy using python -m spacy download en_core_web_sm

Installation using Github

  1. Ensure you have Python 3.6 or above installed.
  2. Install the necessary depepencies by executing the following command:pip install -r requirements.txt
  3. Download English package for spaCy using python -m spacy download en_core_web_sm