Sentiment Analysis of Arabic Tweets for Road Traffic Congestion and Event Detection

Book chapter

EAI/Springer Innovations in Communication and Computing, pp.37-54

EAI-Springer Innovations in Communication and Computing, Springer Nature

01/01/2020

Abstract

Computer Science

Computer Science, Information Systems

Computer Science, Interdisciplinary Applications

Computer Science, Theory & Methods

Engineering

Engineering, Electrical & Electronic

Green & Sustainable Science & Technology

Science & Technology

Science & Technology - Other Topics

Technology

Telecommunications

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Title: Sentiment Analysis of Arabic Tweets for Road Traffic Congestion and Event Detection
Creators - without role: Ebtesam Alomari - King Abdulaziz University
Rashid Mehmood - Computing Center
Iyad Katib - King Abdulaziz University
Contributors - without role: R Mehmood - King Abdulaziz University
S See
Katib
Chlamtac
Publication Details: EAI/Springer Innovations in Communication and Computing, pp.37-54
Series: EAI-Springer Innovations in Communication and Computing
Publisher: Springer Nature; CHAM
Number of pages: 18
Identifiers: 9939052808331
Academic Unit: King Abdulaziz University
Language: English
Resource Type: Book chapter