Question: Develop a Python program to implement text summarization using the TextRank algorithm. The program should be able to generate concise summaries of long pieces of text. This question allows you to explore concepts like: ⚫ Natural language processing (NLP) ⚫ Text preprocessing techniques such as tokenization and stop word removal . Graph-based algorithms for text summarization • Implementation of the TextRank algorithm for keyword extraction and sentence scoring
Question: Develop a Python program to implement text summarization using the TextRank algorithm. The program should be able to generate concise summaries of long pieces of text. This question allows you to explore concepts like: ⚫ Natural language processing (NLP) ⚫ Text preprocessing techniques such as tokenization and stop word removal . Graph-based algorithms for text summarization • Implementation of the TextRank algorithm for keyword extraction and sentence scoring
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Develop a Python program to implement text summarization using the TextRank algorithm. The
program should be able to generate concise summaries of long pieces of text.
This question allows you to explore concepts like:
⚫ Natural language processing (NLP)
⚫ Text preprocessing techniques such as tokenization and stop word removal
•
Graph-based algorithms for text summarization
⚫ Implementation of the TextRank algorithm for keyword extraction and sentence scoring"
Transcribed Image Text:Question:
Develop a Python program to implement text summarization using the TextRank algorithm. The
program should be able to generate concise summaries of long pieces of text.
This question allows you to explore concepts like:
⚫ Natural language processing (NLP)
⚫ Text preprocessing techniques such as tokenization and stop word removal
•
Graph-based algorithms for text summarization
⚫ Implementation of the TextRank algorithm for keyword extraction and sentence scoring
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