For e-commerce sites, fake reviews and inflated ratings are a major problem. A phony review is written by someone who has not really utilized the product or has supplied a modified evaluation in order to get a refund or an incentive. Assume you want to develop a model to detect bogus reviews. Unfortunately, no current labeled datasets exist for this topic. We also lack enough human annotators to label a sufficiently large dataset for supervised learning. Conceive a partly or completely automated method for creating labeled datasets. How would you guarantee the data's quality? • Examine the benefits and drawbacks of the suggested solution. (a) Develop a method for flagging bogus reviews. Utilize a diagram to illustrate all the components in detail.
For e-commerce sites, fake reviews and inflated ratings are a major problem. A phony review is written by someone who has not really utilized the product or has supplied a modified evaluation in order to get a refund or an incentive. Assume you want to develop a model to detect bogus reviews. Unfortunately, no current labeled datasets exist for this topic. We also lack enough human annotators to label a sufficiently large dataset for supervised learning. Conceive a partly or completely automated method for creating labeled datasets. How would you guarantee the data's quality? • Examine the benefits and drawbacks of the suggested solution. (a) Develop a method for flagging bogus reviews. Utilize a diagram to illustrate all the components in detail.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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For e-commerce sites, fake reviews and inflated ratings are a major problem. A phony review is written by someone who has not really utilized the product or has supplied a modified evaluation in order to get a refund or an incentive.
- Assume you want to develop a model to detect bogus reviews. Unfortunately, no current labeled datasets exist for this topic. We also lack enough human annotators to label a sufficiently large dataset for supervised learning.
- Conceive a partly or completely automated method for creating labeled datasets.
- How would you guarantee the data's quality? • Examine the benefits and drawbacks of the suggested solution.
(a) Develop a method for flagging bogus reviews. Utilize a diagram to illustrate all the components in detail.
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