From 684ca4de7ea978f418360063c8d4f4c2a51fcca6 Mon Sep 17 00:00:00 2001 From: Mengxuan Xia Date: Wed, 16 Aug 2017 21:56:26 -0400 Subject: [PATCH] Update to include new systems and resources that appeared on ACL2017 --- README.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/README.md b/README.md index 952e472..89335a1 100644 --- a/README.md +++ b/README.md @@ -68,6 +68,8 @@ SemEval14-Task4: Annotated aspects and sentiments of laptops and restaurants rev Stanford Sentiment Treebank: Sentiment dataset with fine-grained sentiment annotations [[web]](http://nlp.stanford.edu/sentiment/code.html) [[paper]](http://nlp.stanford.edu/~socherr/EMNLP2013_RNTN.pdf) +Multidimensional Lexicon for Interpersonal Stancetaking [[web]](https://github.com/umashanthi-research/multidimensional-stance-lexicon) [[paper]](https://www.cc.gatech.edu/~jeisenst/papers/pavalanathan-acl-camera-ready.pdf) + ## Open Source Implementations The characteristics of each implementation are described. @@ -101,6 +103,9 @@ _**Caveats**: A key problem in sentiment analysis is its sensitivity to the doma [openai/generating-reviews-discovering-sentiment](https://github.com/openai/generating-reviews-discovering-sentiment): Deep Learning, byte mLSTM [[paper]](https://arxiv.org/abs/1704.01444) +[yiyang-gt/social-attention](https://github.com/yiyang-gt/social-attention): Deep Learning, Attention-based. Uses authors' +position in the social network to aide sentiment analysis. [[paper]](https://arxiv.org/pdf/1511.06052.pdf). + ### R [timjurka/sentiment](https://github.com/timjurka/sentiment): Supervised Machine Learning, Naive Bayes Classifier.