Abhya Tripathi Author

Short Communication Open Access

A Brief Note on Document Summarization

Author(s):

Abhya Tripathi

Document Summarization is a very challenging task in text mining. Summarizing a large document in concise short sentences which is a subgroup of the initial text is called as extractive summarization. There are various applications of text summarization, but here the CNN News articles are summarized to its key sentences. In this project, Topic Modeling Algorithm the Latent Dirichlet Allocation is used to generate extractive text summarization. It is used in capturing important topics from the text and later using distribution weighting mechanism sentences are fetched from the text. The model performs well on the data andfetchesthesummaryforthenewsarticle. Thishelpsinsaving timetoreadlongtextsordocuments. Document summarization is a means of deriving significant and relevant data from th... view more»

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