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  Published Paper Details:

  Paper Title

Visual Text Analysis: Sentiment & Summarization with Transformers

  Authors

  CHETHAN M E,  Akash S,  Chandra Shekar M,  Mahesh Pai,  Dr.Reshma J

  Keywords

Document image analysis, Optical character recognition, NLP, Transformer

  Abstract


In a world with an ever-growing amount of data available on both offline and online sources, the task of extracting the key information from the documents and summarizing the content creates the need for Visual text summarization. In this paper, we will look into the types of text summarization and sentiment analysis how it has been helpful in various fields like social media marketing, legal contract analysis, video scripting, etc. Further, this paper conducts a methodical study on abstractive text summarization and highlights the approach which mimics the human cognitive method of summarizing text. The paper aims to analyze the numerous techniques, difficulties, opportunities, and current state of art of abstractive summarization. A detailed survey of research papers/articles was conducted based on the technologies used to make this task quicker and more accurate in recent years.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2401763

  Paper ID - 250314

  Page Number(s) - g454-g462

  Pubished in - Volume 12 | Issue 1 | January 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  CHETHAN M E,  Akash S,  Chandra Shekar M,  Mahesh Pai,  Dr.Reshma J,   "Visual Text Analysis: Sentiment & Summarization with Transformers", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 1, pp.g454-g462, January 2024, Available at :http://www.ijcrt.org/papers/IJCRT2401763.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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