This technique is used to provide an automated concise overview of a large volume of text into fewer sentences that helps to reduce the time spent on reading. Get the summary of your text while preserving its context.
This project covers text summarisation of a wiki website using NLTK, RE libraries for text preprocessing and handling. Intially the website is scrapped and only the text is extracted using RE library, which is then preprocesssed using sentence tokenization and Word Count. The Score for each word is generated and the sentence is scored based on the score of the word. The top 10 sentence is choosen as the summary of the page based on the scores of the sentence
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