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Ayushi_Gautam_Extractive_Text_Summarization #17

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3,475 changes: 3,475 additions & 0 deletions ExtractiveText_Summarization.ipynb

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10 changes: 9 additions & 1 deletion README.md
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# Probation-Projects-2021
# Probation-Projects-2021

Extractive Text Summarization:
Summarization is a technique to shorten long texts such that the summary has all the important points of the actual document.
It aims at identifying keywords and salient information that is then extracted and grouped together to form a concise summary, it saves our time and we get a overview
of the text without losing the overall meaning.
PYTHON LIBRARIES USED: nltk, matplotlib.pyplot, Wordcloud
MODULES : heapq , string
Algorithm used for keyword extraction : rake-nltk