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Currently NLP has become an important aspect in the lives. Through NLP (Natural language processing) text summarization add a lot value to many organizations and work stations in order to fasten their research activity. The Summarization technique allows to generate concise and coherent summaries from longer texts such as articles, documents or web pages. An approach of text summarization and presentation of a comprehensive comparative analysis of auto-summarized text and Original text by four distinct text similarity calculation methods: NLTK (Natural Language Toolkit) Jaccard Similarity, spaCy Word Embedding, Text-Blob Analysis, and BERT Embedding.

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Comparative Analysis of NLP Using Various Machine-Learning Methods

  • 会议论文

  • 发表日期：

    2025年

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  • Dipanshu Goswami,
  • Ashutosh Hagawane,
  • Prachi Rajarapollu

摘要

Currently NLP has become an important aspect in the lives. Through NLP (Natural language processing) text summarization add a lot value to many organizations and work stations in order to fasten their research activity. The Summarization technique allows to generate concise and coherent summaries from longer texts such as articles, documents or web pages. An approach of text summarization and presentation of a comprehensive comparative analysis of auto-summarized text and Original text by four distinct text similarity calculation methods: NLTK (Natural Language Toolkit) Jaccard Similarity, spaCy Word Embedding, Text-Blob Analysis, and BERT Embedding.