Knowledge Management: Using Twitter Bots for Knowledge Retrieval, Sharing, and Customer Service

dc.contributor.advisorStefan Marr
dc.contributor.authorABDULLAH MUHAMMAD SALEM BAKHASHWAIN
dc.date2021
dc.date.accessioned2022-05-28T16:36:48Z
dc.date.available2022-05-28T16:36:48Z
dc.degree.departmentNetworks and Security
dc.degree.grantorUniversity of Kent
dc.description.abstractWith the growing volume of data and information available on the internet, extracting knowledge becomes more challenging than one might anticipate. Despite bots being nefariously exploited on social media sites in recent years, leveraging bots to find information and share knowledge can be beneficial to internet users. This project aims to develop Twitter bots to provide users with genuine knowledge and improve social communication. The complete implementation plan is broken down into parts based on the objectives built to develop a fully integrated system. A few topics or data sources are chosen for which bots are developed to harvest, clean, and organise data and share it with end users. Building of a Chatbot to provide an enhanced conversational experience with the client. The ability to manage and control these bots through a single application is presented. Results demonstrate how highly efficient bots transform complex, extracted, unstructured data into purposeful, structured knowledge consistent with human thoughts. Further improvements are required to raise the efficiency and reliability of bots to disseminate sophisticated and demanding knowledge for potential business applications.
dc.identifier.urihttps://drepo.sdl.edu.sa/handle/20.500.14154/35886
dc.language.isoen
dc.titleKnowledge Management: Using Twitter Bots for Knowledge Retrieval, Sharing, and Customer Service
sdl.thesis.levelMaster
sdl.thesis.sourceSACM - United Kingdom

Files

Copyright owned by the Saudi Digital Library (SDL) © 2024