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Social media platforms have revolutionized communication and society over the past decade, becoming essential in our daily lives by enabling effortless interaction and content sharing. They play a crucial role in opinion analysis, allowing companies to enhance their products based on reviews posted on platforms like Facebook and YouTube. This paper presents a method for constructing a data warehouse from social media data using document-oriented NoSQL databases and linguistic resources from the NooJ platform. The proposed method involves four steps: Data Extraction, Data Classification, Multidimensional Modeling, and Data Loading. To assess and validate our process, we built a corpus containing over 100 comments related to the technology domain. The obtained results are satisfactory and encouraging.

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From the Social Network Data to the Document-Oriented NoSQL Data Warehouse Using the NooJ Platform

  • 会议论文

  • 发表日期：

    2025年

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  • Amira Abbes,
  • Héla Fehri,
  • Ines Ben Messaoud

摘要

Social media platforms have revolutionized communication and society over the past decade, becoming essential in our daily lives by enabling effortless interaction and content sharing. They play a crucial role in opinion analysis, allowing companies to enhance their products based on reviews posted on platforms like Facebook and YouTube. This paper presents a method for constructing a data warehouse from social media data using document-oriented NoSQL databases and linguistic resources from the NooJ platform. The proposed method involves four steps: Data Extraction, Data Classification, Multidimensional Modeling, and Data Loading. To assess and validate our process, we built a corpus containing over 100 comments related to the technology domain. The obtained results are satisfactory and encouraging.