We provide a python implementation of the Bag-of-Embedded-Words (BoEW) method. The BoEW method employs the well known Bag-of-Features model to provide a way to learn compact document-level representations using word-embedding models. The method was implemented using the theano library (which is no longer supported - I hope to provide a PyTorch-based implementation soon).
If you use this code in your work please cite the following paper:
@article{passalis2018boew,
title={Learning Bag-of-Embedded-Words Representations for Textual Information Retrieval},
author={Passalis, Nikolaos and Tefas, Anastasios},
journal={Pattern Recognition},
volume={81},
pages={254--267},
year={2018},
}