A user inputs "hdfilmcehennemi 28-yil-sonra-izle-21" into the system. The system identifies the movie/TV series, finds relevant streaming links, and provides a brief synopsis along with reviews.
Bu yazı yalnızca bilgilendirme amaçlıdır. İçeriklerin yasal telif haklarına saygı gösteriniz. Resmi platformları (Disney+, Netflix, Prime Video vb.) tercih ediniz.
# Conceptual function to process user query def process_query(query): # Tokenize the query tokens = word_tokenize(query) # Remove stopwords tokens = [t for t in tokens if t not in stopwords.words('turkish')] # Assume we have a DataFrame df with movie titles and info results = df[df['title'].apply(lambda x: any(t in x for t in tokens))] return results
Given the context, a useful feature could be a movie or TV series recommendation and streaming guide that includes:
# Example DataFrame df = pd.DataFrame({ 'title': ['28 Yıl Sonra', 'Film Cehennemi'], 'synopsis': ['Synopsis here', 'Synopsis here'], 'streaming_links': ['Link here', 'Link here'] })
import pandas as pd from nltk.tokenize import word_tokenize from nltk.corpus import stopwords
A user inputs "hdfilmcehennemi 28-yil-sonra-izle-21" into the system. The system identifies the movie/TV series, finds relevant streaming links, and provides a brief synopsis along with reviews.
Bu yazı yalnızca bilgilendirme amaçlıdır. İçeriklerin yasal telif haklarına saygı gösteriniz. Resmi platformları (Disney+, Netflix, Prime Video vb.) tercih ediniz.
# Conceptual function to process user query def process_query(query): # Tokenize the query tokens = word_tokenize(query) # Remove stopwords tokens = [t for t in tokens if t not in stopwords.words('turkish')] # Assume we have a DataFrame df with movie titles and info results = df[df['title'].apply(lambda x: any(t in x for t in tokens))] return results
Given the context, a useful feature could be a movie or TV series recommendation and streaming guide that includes:
# Example DataFrame df = pd.DataFrame({ 'title': ['28 Yıl Sonra', 'Film Cehennemi'], 'synopsis': ['Synopsis here', 'Synopsis here'], 'streaming_links': ['Link here', 'Link here'] })
import pandas as pd from nltk.tokenize import word_tokenize from nltk.corpus import stopwords