Publication Date: 2023/11/27
Abstract: In the area of sentiment analysis using deep learning models, this study attempts to thoroughly analyze and assess three deep learning models: a Feedforward Deep Neural Network (DNN), a Gated Recurrent Unit (GRU), and Long Short-Term Memory (LSTM). The goal is to determine which model performs best, offering insightful information for choosing models for sentiment analysis tasks and their useful implementation in real-world scenarios. This work also advances the field of sentiment analysis and natural language processing (NLP) by providing methodological insights into the selection of deep learning models and evaluating their capacity for generalization.
Keywords: Deep learning Models, Long Short Term Memory(LSTM), Sentiment Analysis, DNN,GRU, Accuracy, Efficiency.
DOI: https://doi.org/10.5281/zenodo.10209809
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23NOV1061.pdf
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