Leveraging contextual embeddings and self-attention neural networks with bi-attention for sentiment analysis
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DOI: 10.1007/s10844-021-00664-7
Abstract: People express their opinions and views in different and often ambiguous ways, hence the meaning of their words is often not explicitly stated and frequently depends on the context. Therefore, it is difficult for machines… read more here.
Keywords: contextual embeddings; self attention; sentiment; embeddings self ... See more keywords