This approach summarize a given text by discovering the important sentences with the help of sentences scores obtained from the presence of important words. And this 'importance' is measured by a metric known as tf-idf,which tells how often any word appear in a document (tf:term frequency) and how often the documents contain the word (idf :inverse document frequency) .
himalayan-sanjeev / nepali_text_summarization_extractive Goto Github PK
View Code? Open in Web Editor NEWExtractive Text Summarizer, based on tf-idf text representation (an example)
License: MIT License