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A Personalized Sentiment Model with Textual and Contextual Information
Siwen Guo
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Sviatlana Höhn
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Christoph Schommer
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Paper Details:
Month: November
Year: 2019
Location: Hong Kong, China
Venue:
CoNLL |
SIG: SIGNLL
Citations
URL
No Citations Yet
http://help.sentiment140.com/
http://alt.qcri.org/semeval2017/
https://keras.io/
https://www.tensorflow.org/
https://sentic.net/downloads/
https://nlp.stanford.edu/projects/
https://tfhub.dev/google/elmo/2
Field Of Study
Linguistic Trends
Embeddings
Task
Sentiment Analysis
Dataset
Twitter