A Sentiment Treebank and Morphologically Enriched Recursive Deep Models for Effective Sentiment Analysis in Arabic

ACM Trans. Asian & Low-Resource Lang. Inf. Process., Volume 16, Issue Issue-in-Progress, 2017.

Cited by: 29|Views30
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Abstract:

Accurate sentiment analysis models encode the sentiment of words and their combinations to predict the overall sentiment of a sentence. This task becomes challenging when applied to morphologically rich languages (MRL). In this article, we evaluate the use of deep learning advances, namely the Recursive Neural Tensor Networks (RNTN), for ...More

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