Kazakh Text Generation using Neural Bag-of-Words Model for Sentiment Analysis

Assel Nurlybayeva, Ali Abd Almisreb, Syamimi Mohd Norzeli, Musab A. M. Ali

Abstract


Text generation plays an important role in making decisions in business. Analyzing the consumer’s feedback provides a complete picture of the problem with a definite direction. However, sentimental analyses of reviews in the Kazakh language are not widely cultivated. In this paper, we introduce the Kazakh text generation using the Bag-of-Words model (BoW) models for analyzing the opinions of consumers in social networks. The use of proposed models in natural language processing consists of four stages: data collection, cleaning data, building model, and model evaluation. The proposed BoW model is supported by the platform - Colab notebook and implemented using the python language. Based on experimental results, defined method with higher efficiency as compared to other existing analogs.

Keywords


Kazakh text generation, deep learning, sentimental analyses, Bag-of-words

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DOI: http://dx.doi.org/10.21533/scjournal.v11i2.234

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Copyright (c) 2022 Assel Nurlybayeva, Ali Abd Almisreb, 3Syamimi Mohd Norzeli, Musab A. M. Ali

ISSN 2233 -1859

Digital Object Identifier DOI: 10.21533/scjournal

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This work is licensed under a Creative Commons Attribution 4.0 International License