Automatic Text Summarization is one of popular text processing tasks, according wikipedia, Text Summarization is referred as Automatic Summarization:
Automatic summarization is the process of reducing a text document with a computer program in order to create a summary that retains the most important points of the original document. As the problem of information overload has grown, and as the quantity of data has increased, so has interest in automatic summarization. Technologies that can make a coherent summary take into account variables such as length, writing style and syntax. An example of the use of summarization technology is search engines such as Google. Document summarization is another.
If you remember the Summly App, which created by a 15 years old teenager and finally acquired by Yahoo, based on this text summarization technology. But automatic text summarization is very difficult in academic research, if you have the interest on this field, you can refer the Summarization Website, and there are a lot of text summarization resources, such as Bibliography, Papers and Summarization Systems links on it. We also recommend you to read the classic survey paper "A Survey on Automatic Text Summarization" by Dipanjan Das Andre F.T. Martins, where you can grasp the main summary methods in the text summarization field.
Read full article from Getting Started with the Automatic Text Summarization API on Mashape | Text Mining Online | Text Analysis Online | Text Processing Online
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