GitHub - AditiBagora/SignificantSentencesExtractor: The project uses a single a document as input(.txt) and a compresion ratio as input and generate a files that picks up significant sentences in that order from the document. It uses natural language processing stanford POS tagger and an algoritm that on the basis of similarity and distinctiveness calculates rank of each sentence and based on the compression ratio picks up that amount of sentences.

This repository was archived by the owner on Jun 5, 2021. It is now read-only.

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
build		build
dist		dist
nbproject		nbproject
src		src
README.txt		README.txt
build.xml		build.xml
manifest.mf		manifest.mf
stanford-postagger-3.1.4.jar		stanford-postagger-3.1.4.jar

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The project uses a single a document as input(.txt) and a compresion ratio as input and generate a files that picks up significant sentences in that order from the document.
It uses natural language processing stanford POS tagger and an algoritm that on the basis of similarity and distinctiveness calculates rank of each sentence and based on the compression ratio picks up that amount of sentences.

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The project uses a single a document as input(.txt) and a compresion ratio as input and generate a files that picks up significant sentences in that order from the document. It uses natural language processing stanford POS tagger and an algoritm that on the basis of similarity and distinctiveness calculates rank of each sentence and based on the…

nlp java-8 postagging postagger extractive extractivesummary

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