INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Sentiment analysis of food reviews has become increasingly vital in understanding customer preferences and enhancing the food and hospitality industry's offerings. However, conducting precise sentiment analysis in this context, particularly with five distinct sentiment classes (very negative, negative, neutral, positive, and very positive), poses significant challenges. This paper addresses these challenges by proposing an advanced approach for five-class sentiment analysis. Leveraging state-of-the-art natural language processing techniques, we explored various models, including RNN, BiRNN, AttBiRNN, and BERT. Our results indicate that BERT, with its bidirectional contextual understanding, outperformed the other models, achieving the highest accuracy and F1 score. AttBiRNN also demonstrated strong performance. This research contributes to the field of sentiment analysis, providing valuable insights into customer sentiments within the food and hospitality industry and emphasizing the efficacy of advanced models like BERT for fine-grained analysis.
Keywords:
Food Review, Deep Learning, Sentiment Analysis, BERT
Cite Article:
"Textual Taste Buds: A Profound Exploration of Emotion Identification in Food Recipes through BERT and AttBiRNN Models", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 10, page no.a690-a694, October-2023, Available :http://www.ijnrd.org/papers/IJNRD2310077.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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