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First Phase is to implement the SSWE (Sentiment Specific Word Embedding). The output of 1st phase is vectors for each word with 'Syntax Score' and 'Semantic Score'. Second phase is to train the model using SVM and predict the semantics.
sri-teja/SSWE-for-twitter-Sentiment-Classification
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First Phase is to implement the SSWE (Sentiment Specific Word Embedding). The output of 1st phase is vectors for each word with 'Syntax Score' and 'Semantic Score'. Second phase is to train the model using SVM and predict the semantics.
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