- Wednesday, Oct 29th, 2025
International Journal of Advanced Research in Arts, Science, Engineering & Management (IJARASEM)
(A High Impact Factor, Monthly, Peer Reviewed Journal)
(A High Impact Factor, Monthly, Peer Reviewed Journal)
| TITLE | Cineinsight: Unveiling Netflix Movie Trends & Audience Sentiments |
|---|---|
| ABSTRACT | Cine-Insight is a robust data-driven platform designed to investigate, analyse, and visualize patterns within Netflix’s extensive collection of films and series. Built using Python libraries such as Pandas, Matplotlib, Seaborn, TextBlob, and Scikit-learn, this project focuses particularly on Indian and South Indian cinema, offering meaningful insights into cinematic trends, viewer sentiment, and genre evolution. The workflow starts with gathering and cleaning data from a Netflix dataset that includes details like titles, genres, ratings, release years, and descriptions. The dataset is then filtered to emphasize Indian content, facilitating comparative studies against global film trends. Various visualization techniques are applied to depict the annual release distribution, genre popularity shifts over time, and regional distinctions. A key component of Cine-Insight is sentiment analysis, implemented via the TextBlob library. By evaluating the sentiment of movie descriptions, the system classifies content into positive, negative, or neutral categories. These sentiment results are visualized to reveal how different genres emotionally connect with audiences. To improve user engagement, an interactive dashboard is created using ipy-widgets, enabling users to search for specific titles and access detailed information such as IMDb ratings, cast members, and genre classifications. Additionally, Cine-Insight employs predictive modelling through linear regression to forecast future trends in genre popularity based on historical data. Overall, Cine-Insight combines exploratory data analysis, sentiment evaluation, visualization, and predictive analytics into an accessible tool. It aims to support movie fans, data analysts, and entertainment professionals in gaining a deeper understanding of audience preferences and content trends on Netflix. |
| AUTHOR | Dr. S. Gnanapriya, Gopikrishna AR Assistant Professor, Department of Computer Applications, Nehru College of Management, Coimbatore, Tamil Nadu, India Student of II MCA, Department of Computer Applications, Nehru College of Management, Coimbatore, Tamil Nadu, India |
| PUBLICATION DATE | 2025-10-27 |
| VOLUME | 12 |
| ISSUE | 5 |
| 11_Cine-Insight Unveiling Netflix Movie Trends & Audience Sentiments.pdf | |
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