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A Decision Support System for Document Retrieval and Study Selection in the Systematic Literature Review Process

Jupyter Notebook 58.64% Python 41.36%

decision-support-system's Introduction

Decision Support System

In our study, we developed a decision support system for document retrieval and study selection.

In order to run this code, clone our repository, and add an 'embeddings' and 'weights' folder to the root. Furthermore, place the 100-dimensional GloVe embeddings from GloVe6B.zip in the embeddings folder (https://nlp.stanford.edu/projects/glove/).

Upload the code to Google Drive, and open the iPython Notebook in Google Colab. Then, you can perform your SLR study. Please email to [email protected] if you have any questions. Do not hesitate to file an issue or perform a pull request.

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