2024
DOI: 10.21203/rs.3.rs-4742023/v1
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Sentiment Analysis for Amharic-English Code-Mixed Sociopolitical Posts Using Deep Learning

Yitayew Ebabu,
Minalu Chalie

Abstract: Sentiment analysis is crucial in natural language processing for identifying emotional nuances in text. Analyzing sentiment in natural language text is essential for discerning emotional subtleties. However, this task becomes especially intricate when dealing with code-mixed texts, such as Amharic-English, which exhibit language diversity and frequent code-switching, particularly in social media exchanges. In this investigation, we proposed employing CNN, LSTM, BiLSTM, and CNN-BiLSTM models to address sentimen… Show more

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