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SentiKLUE: Updating a Polarity Classifier in 48 Hours
Stefan Evert
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Thomas Proisl
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Paul Greiner
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Besim Kabashi
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Paper Details:
Month: August
Year: 2014
Location: Dublin, Ireland
Venue:
*SEMEVAL |
SIG: SIGLEX
Citations
URL
ECNU: Multi-level Sentiment Analysis on Twitter Using Traditional Linguistic Features and Word Embedding Features
Zhihua Zhang
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Guoshun Wu
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Man Lan
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KLUEless: Polarity Classification and Association
Nataliia Plotnikova
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Micha Kohl
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Kevin Volkert
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Stefan Evert
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Andreas Lerner
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Natalie Dykes
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Heiko Ermer
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SoMaJo: State-of-the-art tokenization for German web and social media texts
Thomas Proisl
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Peter Uhrig
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EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit Emotions
Thomas Proisl
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Philipp Heinrich
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Besim Kabashi
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Stefan Evert
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http://scikit-learn.org/
http://www2.imm.dtu.dk/pubdb/views/publication_de-
http://www.cs.uic.edu/~liub/FBS/sentiment-
http://mpqa.cs.pitt.edu/lexicons/subj_lexicon/
http://hlt.fbk.eu/technologies/sentiwords
http://www.umiacs.umd.edu/~saif/WebPages/Abstracts/
Field Of Study
Task
Sentiment Analysis
Language
English
Dataset
Twitter
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