[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-124974-en":3,"doc-seo-124974-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},124974,2336464648322,"Aria","https://ap-avatar.wpscdn.com/avatar/2200025388227c56fec?_k=1778556882303663488",8,"Research & Report","Azure machine-learning service e AI-Driven Application para content management","This master’s dissertation develops an AI-driven application for SharePoint Online to support content management and knowledge sharing. It begins with extracting information from SharePoint Online, performing data pre-processing, and storing the resulting dataset. It then builds and evaluates several machine learning models to analyze user-related data and make predictions about specific aspects of user experience on SharePoint pages. The work covers topics including data mining, multi-class/multi-label classification, user behavior analysis, predictive analysis, model evaluation and optimization, and integration with the Microsoft 365 ecosystem.","University of Minho  \nSchool of Engineering  \nFrancisco Alves Andrade  \nAzure machine-learning service and AI-Driven Application for content management  \nfebruary 2024  \nUniversity of Minho  \nSchool of Engineering  \nFrancisco Alves Andrade  \nAzure machine-learning service and AI-Driven Application for content management  \nMasters Dissertation  \nMaster’s in Informatics Engineering  \nDissertation supervised by  \nPaulo Azevedo  \nfebruary 2024  \nCopyright and Terms of Use for Third Party Work  \nThis dissertation reports on academic work that can be used by third parties as long as the internationally accepted standards and good practices are respected concerning copyright and related rights.  \nThis work can thereafter be used under the terms established in the license below.  \nReaders needing authorization conditions not provided for in the indicated licensing should contact the author through the RepositóriUM of the University of Minho.  \nLicense granted to users of this work:  \nCC BY-NC-ND  \n[https://creativecommons.org/licenses/by-nc-nd/4.0/](https://creativecommons.org/licenses/by-nc-nd/4.0/)  \nAcknowledgements  \nI would like to start by expressing my gratitude to my supervising teacher, Paulo Azevedo, for his support, guidance, and encouragement throughout the duration of this dissertation. His expertise and mentorship have been pivotal in shaping my academic journey and contributing to the success of this project.  \nI am also profoundly grateful to BindTuning and its amazing team for their collaboration and support in facilitating this dissertation. Special thanks to my supervisor, Carlos Silva, whose strong support and innovative project ideas have been crucial in shaping the direction and outcomes of this thesis. I won’t forget the extra hours you spent with me, going above and beyond, to ensure that every challenge I faced was addressed until it was solved.  \nFurthermore, I extend my appreciation to all individuals who have played a role in my college years, including professors, classmates, and administrative staff. Your contributions and interactions have enriched my academic experience and shaped my personal and professional growth.  \nAnother dissertation would be needed to talk about my friends, but you’ll have to make do with this paragraph. You have been pillars of strength and support throughout this journey. Your unwavering encouragement, camaraderie, and companionship have made the challenging moments bearable and the joyous occasions memorable. As some legends would say, you made ”epic” all the major events. The memories we’ve created together hold a very special place in my heart. From the joyful moments to the difficult times, my appreciation for your presence has only grown deeper. I am truly grateful for all the experiences we’ve shared and the unbreakable bond that we’ve formed.  \nWith heartfelt appreciation, I would like to extend my sincerest thanks to Senhor Manuel and Dona Rosa. Your warm hospitality and genuine care transformed your establishment into my second home, providing a place where I could work, unwind, and forge lifelong relationships. Thank you for welcoming me with open arms. Your generosity and warmth will always hold a special place in my heart.  \nLast, but definitely not least, my deepest gratitude goes to my family, whose consistent love, support, and willingness to make sacrifices have been the foundation of my journey. Your confidence in me and constant encouragement have been the greatest inspiration, motivating me to overcome obstacles and pursue my personal, academic, and professional objectives with unshakable determination. I am deeply grateful for your endless support and for always being in my corner throughout this journey.  \nStatement of Integrity  \nI hereby declare having conducted this academic work with integrity.  \nI confirm that I have not used plagiarism or any form of undue use of information or falsification of results along the process leading to its elaboration.  \nI","cbCaisXUBqXxCGdl","https://ap.wps.com/l/cbCaisXUBqXxCGdl","pdf",6196073,1,103,"English","en",105,"# Resumo\n# Desenvolvimento da aplicação\n## Extração, pré-processamento e armazenamento\n## Modelos de aprendizagem automática e previsões\n## Data mining e classificação multiclasse/multi-label\n## Análise do comportamento e previsão\n## Avaliação, otimização e integração no Microsoft 365","[{\"question\":\"O que é o objetivo principal da dissertação?\",\"answer\":\"Desenvolver uma aplicação para o SharePoint Online com modelos de aprendizagem automática que extraem informação, analisam dados e fazem previsões relacionadas à experiência dos utilizadores.\"},{\"question\":\"Quais são as etapas iniciais do trabalho?\",\"answer\":\"A dissertação inclui a extração de informação da plataforma, o pré-processamento dos dados e o seu armazenamento antes de aplicar os modelos.\"},{\"question\":\"Que tipos de modelos e tópicos são abordados?\",\"answer\":\"São desenvolvidos modelos de aprendizagem automática para análise e previsão, incluindo data mining, classificação multiclasse/multi-label, análise do comportamento do utilizador e análise preditiva, além de avaliação e otimização.\"}]","Azure machine-learning service e AI-Driven Application para content management | 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que é o objetivo principal da dissertação?","Question",{"text":75,"@type":76},"Desenvolver uma aplicação para o SharePoint Online com modelos de aprendizagem automática que extraem informação, analisam dados e fazem previsões relacionadas à experiência dos utilizadores.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Quais são as etapas iniciais do trabalho?",{"text":80,"@type":76},"A dissertação inclui a extração de informação da plataforma, o pré-processamento dos dados e o seu armazenamento antes de aplicar os modelos.",{"name":82,"@type":73,"acceptedAnswer":83},"Que tipos de modelos e tópicos são abordados?",{"text":84,"@type":76},"São desenvolvidos modelos de aprendizagem automática para análise e previsão, incluindo data mining, classificação multiclasse/multi-label, análise do comportamento do utilizador e análise preditiva, além de avaliação e 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