2020
DOI: 10.11591/eei.v9i4.1897
|View full text |Cite
|
Sign up to set email alerts
|

A real-time big data sentiment analysis for iraqi tweets using spark streaming

Abstract: The scale of data streaming in social networks, such as Twitter, is increasing exponentially. Twitter is one of the most important and suitable big data sources for machine learning research in terms of analysis, prediction, extract knowledge, and opinions. People use Twitter platform daily to express their opinion which is a fundamental fact that influence their behaviors. In recent years, the flow of Iraqi dialect has been increased, especially on the Twitter platform. Sentiment analysis for different dialec… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
19
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
9
1

Relationship

3
7

Authors

Journals

citations
Cited by 36 publications
(22 citation statements)
references
References 49 publications
0
19
0
Order By: Relevance
“…Cerra et al In 2018 produced a learning environment based on video and self-assessment combination tools for computer-Aided Design CAD applications. The method developed to analyze the problem and determine the combination effect of the two tools to find out the importance of learning subjects [27][28][29].…”
Section: Related Workmentioning
confidence: 99%
“…Cerra et al In 2018 produced a learning environment based on video and self-assessment combination tools for computer-Aided Design CAD applications. The method developed to analyze the problem and determine the combination effect of the two tools to find out the importance of learning subjects [27][28][29].…”
Section: Related Workmentioning
confidence: 99%
“…The use of sentiment analysis that comes from social media has been used by several previous researchers [11], [12]. It was used for the sentiment assessment of the relocation of the Indonesia capital city [13], as well as the use of real time social media bigdata for sentiment [14]. The sentiment analysis is also used to assess film reviews [15].…”
Section: Bulletin Of Electr Eng and Infmentioning
confidence: 99%
“…AODV is characterized by its ability to diversify unicast and multicast, it is noted that the source node sends over the network the RREQ route request packet for the purpose of directing a specific route to a destination that does not have a route [27][28][29][30]. After receiving the package containing the destination sequence number by the targeted nodes, it updates its source information as well as the current sequence number, IP address, and broadcast ID of the source node, the response is made by the destination node or that has a path to a destination on the RREP path with a corresponding sequence number (equal to or greater than the number in the RREQ).…”
Section: Ad Hoc On-demand Distance Vector Routing (Aodv)mentioning
confidence: 99%