Novel tool for analyzing agriculture related documents

V. S. Pruthvi, E. Naresh, B. P. Vijaya Kumar

Research output: Contribution to journalArticlepeer-review


In this work, an interface has been proposed which helps users understand complex agricultural research papers and provides assistance in understanding them, this includes summarizing the document, providing author information and providing hyper links for the key words in the research paper. Here python has been used for the GUI as well as in the implementation. The methodology includes Image Processing, OCR, NLP and Deep Learning wherein a combination of Extractive and Abstractive summarization has been used. Bag of Words and Word to Vec has also been formed on the dataset.

Original languageEnglish
Pages (from-to)2817-2820
Number of pages4
JournalInternational Journal of Scientific and Technology Research
Issue number10
Publication statusPublished - 2019

All Science Journal Classification (ASJC) codes

  • Development
  • Engineering(all)
  • Management of Technology and Innovation


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