Модель текстовых признаков

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method ID: textfeaturemodel

Related Papers

funSentiment at SemEval-2017 Task 4: Topic-Based Message Sentiment Classification by Exploiting Word Embeddings, Text Features and Target Contexts

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractThis paper describes the approach we used for SemEval-2017 Task 4: Sentiment Analysis in Twitter. Topic-based (target-dependent) sentiment analysis has become attractive and been used in some applications recently, but …...

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