Skip to content

TZNcse209/Text_Summarization

Repository files navigation

Text_Summarization

  1. FREQUENCY-BASED ALGORITHM
  • Preprocessing the texts
  • Word frequency
  • Weighted word frequency
  • Sentence tokenization
  • Score for the sentences
  • Order the sentences
  • Generate the summary
  1. LUHN ALGORITHM
  • Preparing the environment
  • Calculate sentences score
  • Summarize the texts
  • Extracting texts
  • Extracting articles
  • Word cloud
  • Extracting named entities
  • Summarizing the articles
  1. COSINE SIMILARITY
  • Preparing the environment
  • Similarity between sentences
  • Similarity matrix
  • Summarize the texts
  • Extracting texts
  1. Using Libraries
  • Preparing the environment
  • Sumy library
  • Pysummarization library
  • BERT summarize library