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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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Paper Details:
Month: June
Year: 2015
Location: Denver, Colorado
Venue:
*SEMEVAL |
Citations
URL
Learning Sentiment Composition from Sentiment Lexicons
Orith Toledo-Ronen
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Roy Bar-Haim
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Alon Halfon
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Charles Jochim
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Amir Menczel
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Ranit Aharonov
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Noam Slonim
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SenSALDO: Creating a Sentiment Lexicon for Swedish
Jacobo Rouces
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Nina Tahmasebi
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Lars Borin
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Stian Rødven Eide
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Word Emotion Induction for Multiple Languages as a Deep Multi-Task Learning Problem
Sven Buechel
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Udo Hahn
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iLab-Edinburgh at SemEval-2016 Task 7: A Hybrid Approach for Determining Sentiment Intensity of Arabic Twitter Phrases
Eshrag Refaee
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Verena Rieser
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NileTMRG at SemEval-2016 Task 7: Deriving Prior Polarities for Arabic Sentiment Terms
Samhaa R. El-Beltagy
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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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https://code.google.com/p/word2vec/
http://nlp.stanford.edu/projects/GloVe/
http://hyperopt.github.io/hyperopt/
Field Of Study
Linguistic Trends
Embeddings
Syntax
Task
Tagging
Sentiment Analysis
Approach
Representation Learning
Unsupervised Learning
Language
English
Dataset
Twitter
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