The Impact of Arabic Part of Speech Tagging on Sentiment Analysis: A New Corpus and Deep Learning Approach

The Impact of Arabic Part of Speech Tagging on Sentiment Analysis: A New Corpus and Deep Learning Approach

Sentiment Analysis is achieved by using Natural Language Processing (NLP) techniques and finds wide applications in analyzing social media content to determine people's opinions, attitudes, and emotions toward entities, individuals, issues, events, or topics. The accuracy of sentiment analysis...

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Bibliographic Details
Main Author: Munem Nerabie, Abdul (author)
Other Authors: AlKhatib, Manar (author), Samuel Mathew, Sujith (author), El Barachi, May (author), Oroumchian, Farhad (author)
Published: 2021
Subjects:
Sentiment Analysis; Part of Speech Tagging; Arabic Language; Dialect Arabic; Neural Network.
Online Access:https://bspace.buid.ac.ae/handle/1234/3058
https://doi.org/10.1016/j.procs.2021.03.026.
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https://bspace.buid.ac.ae/handle/1234/3058
https://doi.org/10.1016/j.procs.2021.03.026.

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