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An important investment vehicle for the creation and expansion of Capital Markers is mutual funds. The most precise method is used by the project to predict the mutual funds. The customer is thereafter informed of the anticipated mutual fund in principle through summaries of text from various sources covering the dangers and recommendations for mutual funds. Net asset value is referred to as NAV. A mutual fund scheme's NAV per unit acts as a performance metric. The market value of the securities in a scheme is divided by the total number of units in the scheme as of a specific date to determine the NAV per unit.Text summarization is a popular use of natural language processing for information compression. Text summarizing can be used to condense the original material and produce a summary that retains the essential ideas of the original text. Text summary is essential for obtaining the right amount of information from lengthy texts in today's world of abundant data. We come across lengthy things on news websites, blogs, customer review websites, and other places. This review research provides a number of approaches for writing extensive book summaries. Due to the increasing volumes of data produced by technology and many sources, automated text summarization of huge amounts of data is challenging.

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Application of Cutting-Edge Deep Learning and NLP Techniques for Mutual Fund NAV Analysis and Investment Evaluation

  • 会议论文

  • 发表日期：

    2025年

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  • Ankur Goel,
  • Gagan Singh,
  • Deepak Sharma,
  • Priyank Sharma,
  • Moniya Goel

摘要

An important investment vehicle for the creation and expansion of Capital Markers is mutual funds. The most precise method is used by the project to predict the mutual funds. The customer is thereafter informed of the anticipated mutual fund in principle through summaries of text from various sources covering the dangers and recommendations for mutual funds. Net asset value is referred to as NAV. A mutual fund scheme's NAV per unit acts as a performance metric. The market value of the securities in a scheme is divided by the total number of units in the scheme as of a specific date to determine the NAV per unit.Text summarization is a popular use of natural language processing for information compression. Text summarizing can be used to condense the original material and produce a summary that retains the essential ideas of the original text. Text summary is essential for obtaining the right amount of information from lengthy texts in today's world of abundant data. We come across lengthy things on news websites, blogs, customer review websites, and other places. This review research provides a number of approaches for writing extensive book summaries. Due to the increasing volumes of data produced by technology and many sources, automated text summarization of huge amounts of data is challenging.