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Sentiment Classification Using Document Embeddings Trained with Cosine Similarity

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Figure

Figure 1: Proposed Architecture.
Table 1: Experimental Results.
Figure 2: PCA visualization of embeddings trained with (a) dot product, (b) L2R dot product and (c) cos
Table 4: Comparison with other models.

References

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