Atheer Omar S Benjeed
Biographic Data
| ID | 8433284 |
|---|---|
| NAME | Atheer Omar S Benjeed |
| GIVEN NAMES | Atheer Omar S |
| FAMILY NAME | Benjeed |
| SIGNATURE | BENJEED A O S |
| AFFILIATIONS | Jazan University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Incorporating sentimental analysis into development of a hybrid classification model
The Sentimental Analysis approach is typically used for analyzing a user's ideas, sentiments, and text subjectivity, all of which are expressed through text. Sentimental analysis, also known as "opinion mining," is a type of data mining that follows the concept of emotional analysis presented by people in a thoughtful manner. Based on historical evidence, websites are the most effective venue for soliciting customer feedback. Existing methodologi…
Study of the progress, challenges, and opportunities in artificial intelligence of things (AIoT)
Internet of Things (IoT) sensors and gadgets collect and interpret environmental data, transfer them to cloud centers, and receive feedback via the Internet for connectivity and perception in the IoT age. Transmitting enormous amounts of heterogeneous data, interpreting the resulting complicated surroundings, and then making timely, informed decisions are all difficult tasks. Several applications of artificial intelligence (AI), particularly deep…
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Incorporating sentimental analysis into development of a hybrid classification model
The Sentimental Analysis approach is typically used for analyzing a user's ideas, sentiments, and text subjectivity, all of which are expressed through text. Sentimental analysis, also known as "opinion mining," is a type of data mining that follows the concept of emotional analysis presented by people in a thoughtful manner. Based on historical evidence, websites are the most effective venue for soliciting customer feedback. Existing methodologi…
Study of the progress, challenges, and opportunities in artificial intelligence of things (AIoT)
Internet of Things (IoT) sensors and gadgets collect and interpret environmental data, transfer them to cloud centers, and receive feedback via the Internet for connectivity and perception in the IoT age. Transmitting enormous amounts of heterogeneous data, interpreting the resulting complicated surroundings, and then making timely, informed decisions are all difficult tasks. Several applications of artificial intelligence (AI), particularly deep…
Artificial Intelligence (2 works) · Computer Science (2 works) · Data science (2 works) · Psychology (2 works) · Architecture (1 work) · Classifier (UML (1 work) · Cloud computing (1 work) · Cognitive psychology (1 work) · Computer security (1 work) · Data mining (1 work)