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Arabic Language Sentiment Analysis using Bidirectional Long Short Term Memory
Citations:
2
References:
31
Abstract
The amount of data generated in the digital era is huge since the super growth of social networks. Sentiment analysis (SA) seeks to extract opinions from a text and determine the polarity (positive, negative, or neutral). SA is widely used to refer to English. The topic of this study is SA in the Arabic language. There is an amalgamation between Word2Vec and Bidirectional Long-Short Time Memory (B...
Keywords
Sustainable Development Goals (SDG)
2022
Article
Open Access
Arabic Language Sentiment Analysis using Bidirectional Long Short Term Memory
Citations:
2
References:
31
Abstract
The amount of data generated in the digital era is huge since the super growth of social networks. Sentiment analysis (SA) seeks to extract opinions from a text and determine the polarity (positive, negative, or neutral). SA is widely used to refer to English. The topic of this study is SA in the Arabic language. There is an amalgamation between Word2Vec and Bidirectional Long-Short Time Memory (B...
Keywords
Sustainable Development Goals (SDG)
2022
Article
Open Access