17 lines
737 B
Python
17 lines
737 B
Python
import pandas as pd
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from sentence_transformers import SentenceTransformer
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from preprocessing import clean_plot, get_genre, pre_director, clean_cast
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from sklearn.metrics.pairwise import cosine_similarity
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df = pd.read_excel('C:\\Users\\ishaa\\OneDrive\\Documents\\MSU\\Spring 2026\\Data mining\\Project\\updated_data.xlsx', engine='openpyxl')
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df = df.dropna(subset=['Genre', 'Plot'])
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df['Processed_Plot'] = df['Plot'].apply(clean_plot)
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df['Pre_genre'] = df[['Genre', 'Title']].apply(get_genre, axis=1)
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df['Pre_director'] = df['Director'].apply(pre_director)
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df['Pre_cast'] = df['Cast'].apply(clean_cast)
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df.to_excel('C:\\Users\\ishaa\\OneDrive\\Documents\\MSU\\Spring 2026\\Data mining\\Project\\preprocessed_data.xlsx', index=False) |