HKUST-KnowComp/SRBRW
Source Code for IJCAI 2018 paper "Biased Random Walk based Social Regularization for Word Embeddings"
This project helps sentiment analysis researchers or data scientists improve how well their models understand the emotional tone of text, especially for online reviews. By analyzing a dataset of user reviews and associated social connections, it generates improved word and user representations. The outcome is a more accurate sentiment classification, particularly for users with fewer social connections.
No commits in the last 6 months.
Use this if you are developing or evaluating sentiment analysis models and want to incorporate social network information to better understand how language use spreads and influences opinions.
Not ideal if you don't have social network data associated with your text data, or if your primary goal isn't sentiment classification.
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9
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Language
C
License
MIT
Category
Last pushed
Jul 26, 2018
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0
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