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Title

Constructing and Analyzing Movie Similarity Graph Based on Topical Analysis of Movie Subtitles

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Abstract

 Nowadays, considering the huge amount of DATA, to search through them, we ought to use methods for analyzing the DATA according to our needs. This challenge also exists in the entertainment and cinema industry to find Movies and TV shows with the same topic aiming to recommend and minimize the search space for the audience. Therefore, methods are needed to efficiently recognize the Movies with the same topic and present them to the users. Most of the existing services lean on user-based information, and usually, not on the original content of the Movies. These services use DATA such as user ratings and comments or features like actors, directors, and the Movie genre or a combination of both. In this paper, we use low-level features of the Movie Subtitles, extracted using LDA, for thematic analysis of textual contents of the Movies (Subtitles). To do so, using the extracted features and Cosine similarity measure, we construct the similarity graph of Movies. In this graph, each node represents a Movie and each edge indicates the similarity between them. In the following, using clustering methods on Movies graphs we were able to achieve a noticeable Thematic correlation between the Movies.

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    APA: Copy

    Momeni, Dadfar, RAHMANI, HOSSEIN, & NAZARI, MOHAMMAD. (2022). Constructing and Analyzing Movie Similarity Graph Based on Topical Analysis of Movie Subtitles. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949650/en

    Vancouver: Copy

    Momeni Dadfar, RAHMANI HOSSEIN, NAZARI MOHAMMAD. Constructing and Analyzing Movie Similarity Graph Based on Topical Analysis of Movie Subtitles. 2022. Available from: https://sid.ir/paper/949650/en

    IEEE: Copy

    Dadfar Momeni, HOSSEIN RAHMANI, and MOHAMMAD NAZARI, “Constructing and Analyzing Movie Similarity Graph Based on Topical Analysis of Movie Subtitles,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2022, [Online]. Available: https://sid.ir/paper/949650/en

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    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
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