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Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment
Fatih Uzdilli
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Martin Jaggi
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Dominic Egger
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Pascal Julmy
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Leon Derczynski
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Mark Cieliebak
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Paper Details:
Month: June
Year: 2015
Location: Denver, Colorado
Venue:
*SEMEVAL |
Citations
URL
A Twitter Corpus and Benchmark Resources for German Sentiment Analysis
Mark Cieliebak
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Jan Milan Deriu
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Dominic Egger
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Fatih Uzdilli
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http://sentiment.christopherpotts.net/
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Sentiment Analysis
Approach
Structured Prediction
Language
English
Dataset
Twitter
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