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An experimental study of sentiment classification using deep-based models with various word embedding techniques.

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Title: An experimental study of sentiment classification using deep-based models with various word embedding techniques.
Authors: Rezaei, Sajad1, Tanha, Jafar1, jafar.tanha.pnu@gmail.com, Roshan, Seyedehsan1, Jafari, Zahra1, Molaei, Mahdi1, Mirzadoust, Samira1, Sadeghi, Mohammad2, Forsati, Amir1, Khoshamouz, Tara1
Source: Journal of Experimental & Theoretical Artificial Intelligence; Nov2025, Vol. 37 Issue 8, p1293-1329, 37p
Database: Applied Science & Technology Source
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Experimental+%26+Theoretical+Artificial+Intelligence%22">Journal of Experimental & Theoretical Artificial Intelligence</searchLink>; Nov2025, Vol. 37 Issue 8, p1293-1329, 37p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189061972
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      – Type: doi
        Value: 10.1080/0952813X.2024.2384568
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      – Code: eng
        Text: English
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        PageCount: 37
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              Text: Nov2025
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            – TitleFull: Journal of Experimental & Theoretical Artificial Intelligence
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