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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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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
*SEMEVAL |
Citations
URL
Linguistically Regularized LSTM for Sentiment Classification
Qiao Qian
|
Minlie Huang
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Jinhao Lei
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Xiaoyan Zhu
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SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases
Svetlana Kiritchenko
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Saif Mohammad
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Mohammad Salameh
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ARB-SEN at SemEval-2018 Task1: A New Set of Features for Enhancing the Sentiment Intensity Prediction in Arabic Tweets
El Moatez Billah Nagoudi
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Feature-Enriched Character-Level Convolutions for Text Regression
Gustavo Paetzold
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Lucia Specia
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Textmining at EmoInt-2017: A Deep Learning Approach to Sentiment Intensity Scoring of English Tweets
Hardik Meisheri
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Rupsa Saha
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Priyanka Sinha
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Lipika Dey
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http://www.nltk.org/
http://www.cs.uic.edu/liub/FBS/sentiment-
http://www.wjh.harvard.edu/inquirer/homecat.htm
http://anthology.aclweb.org//S/S13/S13-2.pdf#page=444
http://mpqa.cs.pitt.edu/
http://www2.imm.dtu.dk/pubdb/views/publication
http://www.umiacs.umd.edu/saif/WebDocs/NRC-Hashtag-
http://help.sentiment140.com/for-students/
https://code.google.com/archive/p/word2vec
http://nlp.stanford.edu/projects/glove/
https://people.cs.umass.edu/
Field Of Study
Task
Sentiment Analysis
Language
English
Arabic
Dataset
News
Twitter
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