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AMiner Prediction API is a toolkit for science data prediction, such as scholar portrait property prediction.
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README.md

Prediction API

Introduction

AMiner Prediction API is a toolkit for science data prediction, such as scholar portrait property prediction. The toolkit aims to utilize science data and machine learning algorithms to provide more intelligent functionality for global researchers. All algorithms and models which the toolkit uses are derived from AMiner.

Pre-requirement

Anaconda is strongly recommended for environment configuration. Additionally, some libraries are requied. Use following commands to install these libraries:

Library Command
fastText conda install -c mbednarski fasttext *****
Scikit-learn conda install -c anaconda scikit-learn
Jieba conda install -c conda-forge jieba
Requests conda install -c conda-forge requests
Tensorflow conda install -c conda-forge tensorflow
Pytorch conda install -c pytorch pytorch
Numpy conda install -c conda-forge numpy
Pandas conda install -c conda-forge pandas
BeautifulSoup4 conda install -c conda-forge beautifulsoup4
Scrapy conda install -c conda-forge scrapy
Levenshtein conda install -c conda-forge python-levenshtein

***** If you are using OSX, you should use following command to intall fastText

conda install -c conda-forge fasttext

Models Download

Toolkit depends on some pre-trained model files which can be downloaded at following address:

Download

Extract it and move all files into model directory before testing code.

Document

NSFC Subject Classifier

NSFC AI Subject Classifier

Gender Prediction

Identity Prediction

Jobhopping Prediction

Expert Recommendation

Paper Ranker

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