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DOI: 10.14569/IJACSA.2021.0120339
PDF

A Hybrid Model for Documents Representation

Author 1: Dina Mohamed
Author 2: Ayman El-Kilany
Author 3: Hoda M. O. Mokhtar

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 3, 2021.

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Abstract: Text representation is a critical issue for exploring the insights behind the text. Many models have been developed to represent the text in defined forms such as numeric vectors where it would be easy to calculate the similarity between the documents using the well-known distance measures. In this paper, we aim to build a model to represent text semantically either in one document or multiple documents using a combination of hierarchical Latent Dirichlet Allocation (hLDA), Word2vec, and Isolation Forest models. The proposed model aims to learn a vector for each document using the relationship between its words’ vectors and the hierarchy of topics generated using the hierarchical Latent Dirichlet Allocation model. Then, the isolation forest model is used to represent multiple documents in one representation as one profile to facilitate finding similar documents to the profile. The proposed text representation model outperforms the traditional text representation models when applied to represent scientific papers before performing content-based scientific papers recommendation for researchers.

Keywords: Document representation; latent dirichlet allocation; hierarchical latent dirichlet allocation; Word2vec; Isolation Forest

Dina Mohamed, Ayman El-Kilany and Hoda M. O. Mokhtar, “A Hybrid Model for Documents Representation” International Journal of Advanced Computer Science and Applications(IJACSA), 12(3), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120339

@article{Mohamed2021,
title = {A Hybrid Model for Documents Representation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120339},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120339},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {3},
author = {Dina Mohamed and Ayman El-Kilany and Hoda M. O. Mokhtar}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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