Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification

    WWW, 2017.

    Cited by: 59|Bibtex|Views14|Links
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    Abstract:

    This paper presents a novel approach for multi-lingual sentiment classification in short texts. This is a challenging task as the amount of training data in languages other than English is very limited. Previously proposed multi-lingual approaches typically require to establish a correspondence to English for which powerful classifiers ar...More

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