2 Large-Scale Summarization Using Machine Learning Approach
2.1 Scaling to Summarize Large Text
The need for automatic summarization systems are:
- It creates summaries that reduce users’ reading time.
- When researching documents, the generated summaries make the selection process easier.
- It improves the effectiveness of indexing.
- Automatic summarization system is less biased than human summarizers.
- The produced summaries are also useful in question-answering systems.
- Using automatic summarization system enables commercial abstract services to increase the number of texts they are able to process.
Most summarization techniques require the data to be centralized, which may not be feasible in many cases due ...
Get Computational Techniques for Text Summarization based on Cognitive Intelligence now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.