Machine learning-based sentiment analysis for tweets saudi tourism: a review and new tendency
By: ALrashidi, Sarah M
.
Contributor(s): ALanazi, Fatmh N.
Publisher: Haryana IOSR - International Organization of Scientific Research 2022Edition: Vol.24(3), May-Jun.Description: 15-25p.Subject(s): Computer EngineeringOnline resources: Click here
In:
IOSR Journal of Computer Engineering (IOSR-JCE)Summary: Nowadays, no doubt that social media has an elevated influence on our life, thoughts, and
decisions. Consequently, tourists share their feelings, opinions, and experiences about the services provided on
their travels through such social networks. So, such social media sites are a huge and very influential source of
information that affects all aspects, especially the aspect of tourism in terms of reputation, performance, and
improving products and services provided by the concerned authority. Further, Sentiment Analysis (SA) is one
of the most important tools that help in understanding and analyzing the polarity of textual data. On the other
hand, the concern and development of tourism in Saudi Arabia is the key factor that inspired the recent
advancement of the tourism industry, as well as the achievement of Saudi Arabia's Vision of 2030. This makes
research in this field a priority and a national value, therefore, this research project contributes to such context.
In this regard, this paper presents an exhaustive and state-of-the-art review of sentiment analysis that comprises
the related approaches, algorithms, techniques, and applications. The paper also reviews the most substantial
and relevant research with more emphasis on tourism sentiment analysis. Finally, it focuses on highlighting the
new challenges and methodology of Machine Learning-Based Sentiment Analysis for Twitter Saudi Tourism.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2022-2111 |
Nowadays, no doubt that social media has an elevated influence on our life, thoughts, and
decisions. Consequently, tourists share their feelings, opinions, and experiences about the services provided on
their travels through such social networks. So, such social media sites are a huge and very influential source of
information that affects all aspects, especially the aspect of tourism in terms of reputation, performance, and
improving products and services provided by the concerned authority. Further, Sentiment Analysis (SA) is one
of the most important tools that help in understanding and analyzing the polarity of textual data. On the other
hand, the concern and development of tourism in Saudi Arabia is the key factor that inspired the recent
advancement of the tourism industry, as well as the achievement of Saudi Arabia's Vision of 2030. This makes
research in this field a priority and a national value, therefore, this research project contributes to such context.
In this regard, this paper presents an exhaustive and state-of-the-art review of sentiment analysis that comprises
the related approaches, algorithms, techniques, and applications. The paper also reviews the most substantial
and relevant research with more emphasis on tourism sentiment analysis. Finally, it focuses on highlighting the
new challenges and methodology of Machine Learning-Based Sentiment Analysis for Twitter Saudi Tourism.
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