# created by /home/wf/.local/lib/python3.10/site-packages/ceurspt/ceurws.py
CREATE
# P31  :instance of  Q13442814:scholarly article
LAST|P31|Q13442814
# P1433: published in 
LAST|P1433|Q113542384
# english label
LAST|Len|"SentNA @ ATE_ABSITA: Sentiment Analysis of Customer Reviews Using Boosted Trees with Lexical and Lexicon-based Features (short paper)"
# english description
LAST|Den|"scientific paper published in CEUR-WS Volume 2765"
# P1476:title
LAST|P1476|en:"SentNA @ ATE_ABSITA: Sentiment Analysis of Customer Reviews Using Boosted Trees with Lexical and Lexicon-based Features (short paper)"
# P407 :language of work or name  Q1860:English
LAST|P407|Q1860
# P953 :full work available at URL
LAST|P953|"https://ceur-ws.org/Vol-2765/paper111.pdf"
# P577 :publication date
LAST|P577|+2020-12-09T00:00:00Z/11
# P2093: author name string, P1545: series ordinal
LAST|P2093|"Francesco Mele"|P1545|"1"
# P2093: author name string, P1545: series ordinal
LAST|P2093|"Antonio Sorgente"|P1545|"2"
# P2093: author name string, P1545: series ordinal
LAST|P2093|"Giuseppe Vettigli"|P1545|"3"