PLMHelps: The development of PLM undergraduate inquiry chatbox using natural language processing through Microsoft azure bot framework

By: Ma. Isabela Salomeo, Alvin G. Usigan. Glan Jazler Lieau J. Zafe
Language: English Manila: PLM, c2023Description: Undergraduate Thesis: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2023Content type: text Media type: unmediated Carrier type: volumeGenre/Form: academicw ritingDDC classification: . LOC classification: T58 S25 2023
Contents:
ABSTRACT: Artificial intelligence (AI) and chatbox have been gaining popularity in recent years because of their ability to converse naturally and their wide array of applications. A chatbox is a software tool that can be used to simulate human conversation with audio or textual technologies. This study developed a chatbox web application that can help the Pamantasan ng Lungsod ng Maynila to effectively answer applicants concerns through the web chatbox. The web chatbox application can be used by applicants to ask questions, can learn to address repetitive questions using the history of questions in training, and avoids pileups and delays by answering applicants queries instantly. The findings of the study revealed promising results with a score of 92.84 out of 100 in terms of everall usability and user experience.
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Item type Current location Home library Collection Call number Status Date due Barcode Item holds
Thesis/Dissertation PLM
PLM
Filipiniana Section 		Filipiniana-Thesis T58 S25 2023 (Browse shelf) Available FT7703
Total holds: 0

ABSTRACT: Artificial intelligence (AI) and chatbox have been gaining popularity in recent years because of their ability to converse naturally and their wide array of applications. A chatbox is a software tool that can be used to simulate human conversation with audio or textual technologies. This study developed a chatbox web application that can help the Pamantasan ng Lungsod ng Maynila to effectively answer applicants concerns through the web chatbox. The web chatbox application can be used by applicants to ask questions, can learn to address repetitive questions using the history of questions in training, and avoids pileups and delays by answering applicants queries instantly. The findings of the study revealed promising results with a score of 92.84 out of 100 in terms of everall usability and user experience.

Filipiniana

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