def _identify_focus_areas(self) -> List[str]: """Identify areas that need more attention based on complexity markers""" complexity_markers = [ 'important', 'crucial', 'essential', 'note that', 'remember', 'key point', 'significant', 'critical', 'fundamental' ]
return principles[:10]
# Calculate similarity cosine_similarities = cosine_similarity(tfidf_matrix[-1:], tfidf_matrix[:-1]) urban planning lecture notes pdf
# Generate questions from sections for section_name, section_text in list(self.sections.items())[:5]: if len(section_text) > 100: questions.append( 'type': 'section', 'question': f"Summarize the main arguments presented in 'section_name' regarding urban planning approaches.", 'related_section': section_name, 'hint': "Focus on the key definitions and examples provided" ) def _identify_focus_areas(self) ->
if == " main ": main()
Bookmark this article and start your PDF collection with the five free resources listed above. Leave a comment below if you have a favorite set of urban planning notes to share with the community. 100: questions.append( 'type': 'section'