Automatic Mining of Comparable Entities
Abstract & Details
Research Area
Computer Engineering
Keywords
Entity Comparing
Attribute Extraction
Decision making
bootstraping
Question Identification.
Abstract
Making Comparisons between things is a typical part of human decision making process. But however, it is difficult to know what are to be compared and what can be the alternatives. For eg. if someone is interested in certain products such as digital cameras, then he /she would want to know what the alternatives are and compare different cameras before making any purchase. This type of comparison activity is very common in our daily life but requires high knowledge skill in order to make much better choice. Therefore, to address this difficulty, we are presenting a novel way to automatically mine comparable entities from comparative questions that users posted online. The literature review revealed that this method gets an F1-measure of 82.5 percent in identification of comparative question and 83.3 percent in comparable entity extraction.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Sharda Rambhau Dabhekar | Siddhant College of Engineering,Sudumbare, Pune. |
| 2 | Shubhangi Vairagar | Siddhant College of Engineering,Sudumbare, Pune. |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Dabhekar, Sharda Rambhau & Vairagar, Shubhangi (2017). Automatic Mining of Comparable Entities. International Journal of Advance Research and Innovative Ideas In Education, 3(1), 1503-1510.
MLA Style
Dabhekar, Sharda Rambhau, and Shubhangi Vairagar. "Automatic Mining of Comparable Entities." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 1, 2017, pp. 1503-1510.
IEEE Style
Sharda Rambhau Dabhekar and Shubhangi Vairagar, "Automatic Mining of Comparable Entities," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 1, pp. 1503-1510, 2017.
Vancouver Style
Dabhekar Sharda Rambhau, Vairagar Shubhangi. Automatic Mining of Comparable Entities. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(1):1503-1510.
Harvard Style
Dabhekar, Sharda Rambhau & Vairagar, Shubhangi (2017) 'Automatic Mining of Comparable Entities', International Journal of Advance Research and Innovative Ideas In Education, 3(1), pp. 1503-1510.
Chicago Style
Dabhekar, Sharda Rambhau and Shubhangi Vairagar. "Automatic Mining of Comparable Entities." International Journal of Advance Research and Innovative Ideas In Education 3, no. 1 (2017): 1503-1510.
Turabian Style
Dabhekar, Sharda Rambhau and Shubhangi Vairagar. "Automatic Mining of Comparable Entities." International Journal of Advance Research and Innovative Ideas In Education 3, no. 1 (2017): 1503-1510.
Related Research
A Brief Review of Performance Evaluation of Global and Local Image Thresholding Based on Computational Efficiency
Download PDF
Performance Evaluation of Global and Local Image Thresholding Based on Computational Efficiency
Download PDF
Enhancing Handwritten Alpha-Numeral Recognition Using GAN-Based Synthetic Data Generation
Download PDF
Comprehensive Review of Existing Chatbot Systems for Career Assistance, Resume Support, and ATS-Aware Guidance
Download PDF
Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement
Download PDF
A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
Download PDF