Aspect-Based Sentiment Analysis of Twitter Influencers to Predict the Trend of Cryptocurrencies Based on Hybrid Deep Transfer Learning Models

With the expansion of social networks, sentiment analysis has become one of the hot topics in machine learning. However, in traditional sentiment analysis, the text is considered of a general nature and ignores the different aspects that may exist in the text. This paper presents a hybrid model of t...

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Bibliografische gegevens

Hoofdauteurs:	Kia Jahanbin, Mohammad Ali Zare Chahooki
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	IEEE 2023-01-01
Reeks:	IEEE Access
Onderwerpen:	Aspect based sentiment analysis prediction trend price cryptocurrencies pre-trained networks hybrid deep learning models
Online toegang:	https://ieeexplore.ieee.org/document/10292644/
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