"The Impact of Arabic Part of Speech Tagging on Sentiment Analysis: A New ..."

Abdul Munem Nerabie et al. (2021)

> Home

Details and statistics

DOI: 10.1016/J.PROCS.2021.03.026

access: closed

type: Conference or Workshop Paper

metadata version: 2024-07-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ant/NerabieAMBO21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ant/NerabieAMBO21
Abdul Munem Nerabie, Manar Alkhatib, Sujith Samuel Mathew, May El Barachi, Farhad Oroumchian:
The Impact of Arabic Part of Speech Tagging on Sentiment Analysis: A New Corpus and Deep Learning Approach. ANT/EDI40 2021: 148-155

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.