This is the working of extraction-based summarization. You can compare this process to using a highlighter: you select the key information from the sourcebook. In the extraction-based summarization, a subset of words that are represented in most points of the text is pulled out and then combined to make a summary. With this tool, you can enjoy quick access to vital information.īroadly, there are two different approaches to summarizing text: Extraction and Abstraction. In a nutshell, with the explosion of data circulating in the digital space, which is mostly non-structural textual data, there is always a need for a summarizer tool. In this way, you can get an improved, clear and short version of a long document with a reduced reading time compared to tackling a large piece of text alone. Many people choose to use a system or a tool that can prepare an executive summary for them simply by uploading the article. Therefore, the text summarization tool proves to offer great assistance in this task. However, online information is not differentiated by quality, it is more productive to read the executive summary than the entire article word by word. In a world of technology, everyone thrives to keep themselves updated with different information and knowledge.
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