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Key Phrase Extraction System for Agricultural Documents

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Information, Communication and Computing Technology (ICICCT 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1025))

Abstract

Keywords play a vital role in extracting relevant and semantically related documents from a huge collection of various documents. Keywords represent the main topics covered in the document. But manual keyword extraction is a tedious and time-consuming process. Thus, there is a need for an automated keyword extraction system for easier extraction of relevant documents. In this paper, the focus is on agriculture-related documents. Agrovoc, an agriculture-based vocabulary that contains more than 35,000 concepts is used for extracting relevant keywords from the document. The proposed system extracts the relevant keywords from agricultural documents which are further used to extract relevant documents. Also, with the increasing number of documents on the Internet, the need for efficient storage for keywords with their corresponding documents is necessary. In the proposed system, a trie-based inverted index has been used for efficient storage and retrieval of keywords and the related documents.

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Author information

Authors and Affiliations

  1. National Institute of Technology, Trichy, India

    Swapna Johnny & S. Jaya Nirmala

Authors
  1. Swapna Johnny
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  2. S. Jaya Nirmala
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Corresponding authors

Correspondence to Swapna Johnny or S. Jaya Nirmala .

Editor information

Editors and Affiliations

  1. University of Malaya, Kuala Lumpur, Malaysia

    Abdullah Bin Gani

  2. Department of Computer Science and Engineering, Indian Institute of Technology Guwahati, Guwahati, India

    Pradip Kumar Das

  3. Department of IT, Jagan Institute of Management Studies, New Delhi, India

    Latika Kharb

  4. Department of IT, Jagan Institute of Management Studies, New Delhi, India

    Deepak Chahal

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© 2019 Springer Nature Singapore Pte Ltd.

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Johnny, S., Jaya Nirmala, S. (2019). Key Phrase Extraction System for Agricultural Documents. In: Gani, A., Das, P., Kharb, L., Chahal, D. (eds) Information, Communication and Computing Technology. ICICCT 2019. Communications in Computer and Information Science, vol 1025. Springer, Singapore. https://doi.org/10.1007/978-981-15-1384-8_20

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  • DOI: https://doi.org/10.1007/978-981-15-1384-8_20

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1383-1

  • Online ISBN: 978-981-15-1384-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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