🔗 Who cites «LSIS at SemEval-2017 Task 4: Using Adapted Sentiment Similarity Seed Words For English and Arabic Tweet Polarity Classification»

2 papers of our library cite it (of the 149,439 whose bibliographies we read) · 1 with a page here, the most cited first · ← back to «LSIS at SemEval-2017 Task 4: Using Adapted Sentiment Similarity Seed Words For English and Arabic Tweet Polarity Classification»

1. SemEval-2017 Task 4: Sentiment Analysis in TwitterInternational Workshop on Semantic Evaluation (SemEval)Sara Rosenthal, Noura Farra, Preslav Nakov2017 · 1,163 citations

1 more paper of our library cites it; it has no page here yet.

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