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Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach
Duyu Tang
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Furu Wei
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Bing Qin
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Ming Zhou
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Ting Liu
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Paper Details:
Month: August
Year: 2014
Location: Dublin, Ireland
Venue:
COLING |
Citations
URL
A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis
Yicheng Zou
|
Tao Gui
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Qi Zhang
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Xuanjing Huang
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A Joint Segmentation and Classification Framework for Sentiment Analysis
Duyu Tang
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Furu Wei
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Bing Qin
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Li Dong
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Ting Liu
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Ming Zhou
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Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora
William L. Hamilton
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Kevin Clark
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Jure Leskovec
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Dan Jurafsky
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Context-Sensitive Lexicon Features for Neural Sentiment Analysis
Zhiyang Teng
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Duy-Tin Vo
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Yue Zhang
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Sentiment Lexicon Construction with Representation Learning Based on Hierarchical Sentiment Supervision
Leyi Wang
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Rui Xia
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Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification
Yi Tay
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Anh Tuan Luu
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Siu Cheung Hui
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Jian Su
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Are Manually Prepared Affective Lexicons Really Useful for Sentiment Analysis
Minglei Li
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Qin Lu
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Yunfei Long
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Learning Stock Market Sentiment Lexicon and Sentiment-Oriented Word Vector from StockTwits
Quanzhi Li
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Sameena Shah
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What does this Emoji Mean? A Vector Space Skip-Gram Model for Twitter Emojis
Francesco Barbieri
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Francesco Ronzano
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Horacio Saggion
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Ultradense Word Embeddings by Orthogonal Transformation
Sascha Rothe
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Sebastian Ebert
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Hinrich Schütze
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Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best–Worst Scaling
Svetlana Kiritchenko
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Saif M. Mohammad
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Learning Semantic Representations of Users and Products for Document Level Sentiment Classification
Duyu Tang
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Bing Qin
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Ting Liu
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Towards Debugging Sentiment Lexicons
Andrew Schneider
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Eduard Dragut
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Don’t Count, Predict! An Automatic Approach to Learning Sentiment Lexicons for Short Text
Duy Tin Vo
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Yue Zhang
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EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks
Muhammad Abdul-Mageed
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Lyle Ungar
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Learning Domain-Sensitive and Sentiment-Aware Word Embeddings
Bei Shi
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Zihao Fu
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Lidong Bing
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Wai Lam
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Overcoming Language Variation in Sentiment Analysis with Social Attention
Yi Yang
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Jacob Eisenstein
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IOA: Improving SVM Based Sentiment Classification Through Post Processing
Peijia Li
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Weiqun Xu
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Chenglong Ma
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Jia Sun
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Yonghong Yan
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INESC-ID: A Regression Model for Large Scale Twitter Sentiment Lexicon Induction
Silvio Amir
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Ramon Astudillo
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Wang Ling
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Bruno Martins
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Mario J. Silva
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Isabel Trancoso
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ECNU at SemEval-2016 Task 7: An Enhanced Supervised Learning Method for Lexicon Sentiment Intensity Ranking
Feixiang Wang
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Zhihua Zhang
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Man Lan
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The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition
Svetlana Kiritchenko
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Saif Mohammad
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Predicting Concreteness and Imageability of Words Within and Across Languages via Word Embeddings
Nikola Ljubešić
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Darja Fišer
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Anita Peti-Stantić
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http://creativecommons.org/licenses/by/4.0/
http://www.urbandictionary.com/
http://en.wikipedia.org/wiki/Urban
http://www.urbandictionary.com/define.php?term=cooool
http://www.urbandictionary.com/define.php?term=not+bad
http://www.cs.uic.edu/
http://mpqa.cs.pitt.edu/lexicons/subj
http://www.saifmohammad.com/WebPages/ResearchInterests.html
http://www.saifmohammad.com/WebPages/Abstracts/NRC-SentimentAnalysis.htm
Field Of Study
Task
Sentiment Analysis
Approach
Deep Learning
Representation Learning
Unsupervised Learning
Language
Chinese
Dataset
Twitter
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