LSTMs for Aspect-based Sentiment Analysis task

LSTM sentiment analysis

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In identifying the different emotions present in a review, it is necessary to distinguish the single entities present and the specific semantic relations.

The number of reviews needed to have a complete dataset for every single possible option is not predictable.

The approach described starts from studying the aspect and later the polarity and creating an ensemble of the two models to provide a better understanding of the dataset.

See here the full publication.

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