Volume 11, Issue 1, 2018, Pages 296 - 315
Automatic Extraction of Attributes and Entities for Product Differentiation
Authors
Abhijeet Ramesh Thakare*, abhijeet.thakare@gmail.com, Parag S. Deshpandepsdeshpande@cse.vnit.ac.in
Department of Computer Science and Engineering, Visvesvaraya National Institute of Technology, South Ambazari Road, Nagpur, Maharashtra 440010, India
*Corresponding author.
Corresponding Author
Abhijeet Ramesh Thakareabhijeet.thakare@gmail.com
Received 30 April 2017, Accepted 28 October 2017, Available Online 1 January 2018.
- DOI
- 10.2991/ijcis.11.1.23How to use a DOI?
- Keywords
- Attribute value extraction; Entity extraction; Product Differentiation; Web Spreadsheet; Aggregated Search
- Abstract
This paper introduces a novel concept of web-spreadsheet, which extracts product information by crawling through related web pages and generates information like a spreadsheet where each row represents product information and each column represents product attributes. Using Decision Tree based classifier, the accuracy achieved for extracting entities and attribute-value pairs is 98.71% and 99.99% respectively. This strategy will benefit the product companies for performing successful product differentiation and save a lot of time of the customers for comparing different products of same product class.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
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TY - JOUR AU - Abhijeet Ramesh Thakare AU - Parag S. Deshpande PY - 2018 DA - 2018/01/01 TI - Automatic Extraction of Attributes and Entities for Product Differentiation JO - International Journal of Computational Intelligence Systems SP - 296 EP - 315 VL - 11 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.11.1.23 DO - 10.2991/ijcis.11.1.23 ID - Thakare2018 ER -