How does extractive summarization work?
An example of an AI chatbot conversation about extractive summarization techniques.
Can you explain how extractive summarization works?
Sure! Extractive summarization involves selecting key sentences or phrases from a text to create a summary.
What techniques are commonly used in extractive summarization?
Common techniques include frequency-based methods, graph-based algorithms like TextRank, and machine learning approaches.
How does TextRank differ from frequency-based methods?
TextRank uses a graph-based approach to rank sentences based on their relationships, while frequency-based methods focus on word occurrence.
Can extractive summarization be used for different types of texts?
Yes, it can be applied to various texts, including articles, reports, and even social media posts.
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