Can I read Persian Text Sentiment Analysis Based on BERT and Neural Networks on EtoBox?

Persian Text Sentiment Analysis Based on BERT and Neural Networks by Siroos Rahmani Zardak; Amir Hossein Rasekh; Mohammad Sadegh Bashkari is a Engineering article available to read on EtoBox.

What is Persian Text Sentiment Analysis Based on BERT and Neural Networks about?

Sentiment analysis and opinion mining are studies that analyze people's opinions, feelings, experiences, and emotions through written language. This is one of the most active research fields in natural language processing and data mining, web mining, and text mining. In fact, because of its importance to business and society, it has expanded beyond computer science to management science and the social sciences. Sentiment analysis systems are used in almost every business and social area because opinions play an essential role in human activities and they are among our most influential behaviors. Our perceptions of reality and our choices are largely conditioned on how others see and evaluate the world. This is why when we have to make a decision, we often seek the opinions of others, and this is true not only for people but also for organizations. One of the challenges is the lack of a proper method for sentiment analysis in Persian, and algorithms that work in other languages such as English, French and Arabic but cannot be generalized to the Persian language. In this paper, Persian text sentiment has been analyzed using the BERT algorithm. Also, the efficacy of this algorithm has

Who reads Persian Text Sentiment Analysis Based on BERT and Neural Networks?

Author

Siroos Rahmani Zardak; Amir Hossein Rasekh; Mohammad Sadegh Bashkari

Publisher

Springer Science and Business Media LLC

Published

2023

Language

EN

Field

Engineering (Physical Sciences)