Papers with multi-class sentiment analysis

1 papers
Multilingual Multi-class Sentiment Classification Using Convolutional Neural Networks (L18-1)

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Challenge: a new language-independent model for sentiment analysis is proposed for social media . a sentiment dictionary cannot list all the possible ways people can express their opinions .
Approach: They propose a language-independent model for multi-class sentiment analysis using a neural network architecture.
Outcome: The proposed model does not rely on language-specific features such as ontologies, dictionaries, or morphological or syntactic pre-processing.

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