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Discovering User Interest in Social Media Based on Correlation

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Advances in Information and Communication Technology (ICTA 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 848))

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Abstract

Recently, with the express growth of social media, users have joined more and more of these networks and live their lives virtually. Consequently, they create a huge amount of data on these social media sites, and they become data resources for information processing and have been widely investigated in computer science. Discovering users interests on social media is a problem that has received a lot of attention because it has high applicability in practice. The purpose of this paper is to introduce a method to detect user-interest topics on social media by analyzing the content of user’ posts. Research used a semantic expansion technique based on the Wikipedia dictionary and the N-gram technique to split; it used the TF.IDF weighted vector to represent and estimate based on Pearson correlation. The experimental results show that the research model can be applied to the analysis of many social media sites with many different languages, regardless of the network structure and language used on these social media.

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Author information

Authors and Affiliations

  1. Thuongmai University, Hanoi, Vietnam

    Nguyen Thi Hoi

  2. Posts and Telecommunications Institute of Technology, Hanoi, Vietnam

    Tran Dinh Que

Authors
  1. Nguyen Thi Hoi
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  2. Tran Dinh Que
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Corresponding author

Correspondence to Nguyen Thi Hoi .

Editor information

Editors and Affiliations

  1. Thai Nguyen University of Information and Communication Technology, Thai Nguyen, Vietnam

    Phung Trung Nghia

  2. Thai Nguyen University of Information and Communication Technology, Thai Nguyen, Vietnam

    Vu Duc Thai

  3. VNU University of Engineering and Technology, Vietnam National University, Ha Noi, Vietnam

    Nguyen Thanh Thuy

  4. Information Technology Institute, Vietnam National University, Ha Noi, Vietnam

    Le Hoang Son

  5. Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan

    Van-Nam Huynh

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Hoi, N.T., Que, T.D. (2024). Discovering User Interest in Social Media Based on Correlation. In: Nghia, P.T., Thai, V.D., Thuy, N.T., Son, L.H., Huynh, VN. (eds) Advances in Information and Communication Technology. ICTA 2023. Lecture Notes in Networks and Systems, vol 848. Springer, Cham. https://doi.org/10.1007/978-3-031-50818-9_43

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