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Recode-Hive / Scrape-ML

For new data generation Semi-supervised-sequence-learning-Project we have writtern a python script to fetch📊, data from the 💻, imdb website 🌐 and converted into txt files.
https://scrape-ml.streamlit.app/
MIT License
80 stars 116 forks source link

Movie Genre Classification system #185

Open SayantikaLaskar opened 2 weeks ago

SayantikaLaskar commented 2 weeks ago

Classifying movie genres is a complex task due to several inherent challenges. Movies often belong to multiple genres, requiring sophisticated multi-label classification techniques. The subjective nature of genre definitions adds ambiguity, as different sources may categorize the same movie differently. Additionally, the prevalence of certain genres over others leads to imbalanced datasets, which can bias classification models. Effective feature representation, especially for textual data, is crucial and necessitates advanced natural language processing (NLP) techniques. Furthermore, genres evolve over time, demanding continuous updates to classification systems. Incomplete or inconsistent metadata also hampers accuracy. To address these issues, employing multi-label classification algorithms, balancing datasets, leveraging various algorithms, and implementing continuous learning mechanisms are essential. Choosing appropriate evaluation metrics for multi-label classification, such as Hamming loss and F1 score, can also improve the robustness of the system. By tackling these challenges, the accuracy and effectiveness of movie genre classification can be significantly enhanced. I want to work on this issue. Kindly assign me this issue.

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