System to automatically classify an academic paper with respect to the number of citations it will receive based on a combination of visual and text features. A scraper was written to automatically collect academic PDF's and their corresponding number of citations. Visual and text classifiers were then built and tied together with a metaclassifier. Tool used include python, scrapy, opencv and sklearn.
markostam/academic-citation-prediction
Predicting the impact of academic papers using computer vision and text features.
Python