Machine learning-based sentiment analysis for tweets saudi tourism: a review and new tendency (Record no. 18223)
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| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20221116094558.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 221116b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 19060 |
| Author | ALrashidi, Sarah M. |
| 245 ## - TITLE STATEMENT | |
| Title | Machine learning-based sentiment analysis for tweets saudi tourism: a review and new tendency |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.24(3), May-Jun |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Haryana |
| Name of publisher, distributor, etc. | IOSR - International Organization of Scientific Research |
| Year | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 15-25p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | 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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4622 |
| Topical term or geographic name entry element | Computer Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 19061 |
| Co-Author | ALanazi, Fatmh N. |
| 773 0# - HOST ITEM ENTRY | |
| Title | IOSR Journal of Computer Engineering (IOSR-JCE) |
| Place, publisher, and date of publication | Gurgaon International Organization of Scientific Research (IOSR) |
| International Standard Serial Number | 2278-8727 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | https://www.iosrjournals.org/iosr-jce/papers/Vol24-issue3/Ser-1/C2403011525.pdf |
| Link text | Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| School of Engineering & Technology | School of Engineering & Technology | Archieval Section | 2022-11-16 | 2022-2111 | 2022-11-16 | 2022-11-16 | Articles Abstract Database |