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Refining Word Embeddings for Sentiment Analysis
Liang-Chih Yu
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Jin Wang
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K. Robert Lai
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Xuejie Zhang
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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
EMNLP |
Citations
URL
Encoding Sentiment Information into Word Vectors for Sentiment Analysis
Zhe Ye
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Fang Li
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Timothy Baldwin
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Task-oriented Word Embedding for Text Classification
Qian Liu
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Heyan Huang
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Yang Gao
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Xiaochi Wei
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Yuxin Tian
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Luyang Liu
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Aff2Vec: Affect–Enriched Distributional Word Representations
Sopan Khosla
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Niyati Chhaya
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Kushal Chawla
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Refining Pretrained Word Embeddings Using Layer-wise Relevance Propagation
Akira Utsumi
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LDCCNLP at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases Using Machine Learning
Peng Zhong
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Jingbin Wang
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SentiNLP at IJCNLP-2017 Task 4: Customer Feedback Analysis Using a Bi-LSTM-CNN Model
Shuying Lin
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Huosheng Xie
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Liang-Chih Yu
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K. Robert Lai
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Modelling Salient Features as Directions in Fine-Tuned Semantic Spaces
Thomas Ager
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Ondřej Kuželka
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Steven Schockaert
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HUMIR at IEST-2018: Lexicon-Sensitive and Left-Right Context-Sensitive BiLSTM for Implicit Emotion Recognition
Behzad Naderalvojoud
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Alaettin Ucan
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Ebru Akcapinar Sezer
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Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training
Peng Xu
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Andrea Madotto
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Chien-Sheng Wu
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Ji Ho Park
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Pascale Fung
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http://nlp.stanford.edu/projects/glove/
https://code.google.com/archive/p/word2vec/
http://ir.hit.edu.cn/~dytang/
https://github.com/yoonkim/CNN_sentence
https://github.com/miyyer/dan
https://github.com/stanfordnlp/treelstm
https://github.com/tensorflow/fold
Field Of Study
Linguistic Trends
Embeddings
Task
Sentiment Analysis
Approach
Representation Learning
Language
English
Dataset
News
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