UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 12 Issue 2
February-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2502333


Registration ID:
555255

Page Number

d277-d289

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Title

A COMPREHENSIVE SURVEY ON INFORMATION EXTRACTION: TECHNIQUES, APPLICATIONS AND FUTURE DIRECTIONS

Abstract

Information Extraction (IE) is a fundamental task in Natural Language Processing (NLP) and Computer Vision, aimed at automatically extracting structured information from unstructured data sources such as text, images, and videos. This paper provides a comprehensive survey of various IE techniques, focusing on Named Entity Recognition (NER), Relation Extraction (RE), and Opinion Classification. We discuss rule-based, unsupervised, supervised, and deep learning approaches for NER, highlighting their advantages and limitations. Additionally, we explore the role of IE in diverse applications, including scholarly literature databases, business intelligence, healthcare, patent analysis, and customer care. Furthermore, we examine IE methods applied to images and videos, covering visual relationship detection, optical character recognition (OCR), and automatic video summarization. The paper also addresses challenges such as domain adaptation, ambiguity, data privacy, and computational efficiency. Finally, we outline future research directions, emphasizing the integration of multimodal IE, advancements in deep learning, and real-time processing.

Key Words

Information Extraction (IE), Named Entity Recognition (NER), Relation Extraction (RE), Opinion Classification, Feature-based Supervised Learning, Deep Learning for IE, Text Mining, Optical Character Recognition (OCR) and Natural Language Processing (NLP)

Cite This Article

"A COMPREHENSIVE SURVEY ON INFORMATION EXTRACTION: TECHNIQUES, APPLICATIONS AND FUTURE DIRECTIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 2, page no.d277-d289, February-2025, Available :http://www.jetir.org/papers/JETIR2502333.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A COMPREHENSIVE SURVEY ON INFORMATION EXTRACTION: TECHNIQUES, APPLICATIONS AND FUTURE DIRECTIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 2, page no. ppd277-d289, February-2025, Available at : http://www.jetir.org/papers/JETIR2502333.pdf

Publication Details

Published Paper ID: JETIR2502333
Registration ID: 555255
Published In: Volume 12 | Issue 2 | Year February-2025
DOI (Digital Object Identifier):
Page No: d277-d289
Country: Coimbatore, Tamilnadu, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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