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The Trumpiest Trump? Identifying a Subject’s Most Characteristic Tweets
Charuta Pethe
|
Steve Skiena
|
Paper Details:
Month: November
Year: 2019
Location: Hong Kong, China
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
No Citations Yet
https://help.twitter.com/en/rules-
https://business.twitter.com
https://developer.twitter.com/en/docs.html
https://www.mturk.com/
https://research.fb.com/fasttext/
https://www.statista.com/statistics/282087/number-
http://ww.nlp.ia.ac.cn/2012papers/gjhy/gh154.pdf
Field Of Study
Linguistic Trends
Embeddings
Task
Information Retrieval
ASR
Text Categorization
Authorship Attribution
Approach
Topic Modeling
Deep Learning
Bayesian Model
Language
English
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News
Social Media
Twitter
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