Machine Learning Techniques for Document Summarization: A Survey
Automatic Document summarization, hierarchical clustering, k-means clustering, sentence scoring, sentence extraction.
Currently huge amount of data is available on the internet which is increasing exponentially day by day. It becomes time consuming and tedious job to search a specific topic from the heap of information available. Document summarization is the key solution to the above stated problem. It refers to reducing the size of the document still preserving the main information of it. Abstractive and Extractive are the two main automatic document summarization techniques. The aim of this paper is to present a survey on various extractive document summarization techniques.
Volume 4 Issue 2
Pages. 659-664