Mining consumer reviews to generate ratings of different product attributes while producing feature-based review-summary-Reference-Cited by-同舟云学术

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Mining consumer reviews to generate ratings of different product attributes while producing feature-based review-summary

Published:2015-12-07 Issue:13 Volume:47 Page:3272-3286
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Kangale Akshay,Kumar S. Krishna,Naeem Mohd Arshad,Williams Mark,Tiwari M. K.

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/00207721.2015.1116640

Reference18 articles.

1. Deriving the Pricing Power of Product Features by Mining Consumer Reviews

2. Flexible Frameworks for Actionable Knowledge Discovery

3. Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix

4. Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web

5. Estimating aggregate consumer preferences from online product reviews

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1. Scaling Technology Acceptance Analysis with Large Language Model (LLM) Annotation Systems: A Validation Study;International Conference on Information Systems Development;2024-09-09

2. Heterogeneous Technology Acceptance Models as a Tool for Product Analysis: Example from Comparison of Handheld Gaming Consoles;International Conference on Information Systems Development;2024-09-09

3. Trends and challenges in sentiment summarization: a systematic review of aspect extraction techniques;Knowledge and Information Systems;2024-05-09

4. Exploring digital narratives: A comprehensive dataset of household energy app reviews;Data in Brief;2023-12

5. Big Data and AI-Driven Product Design: A Survey;Applied Sciences;2023-08-20

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