How to Detect Fake Online Reviews using Machine Learning
Since Yelp’s early days, reviews are one of the most important factors customers have relied on to determine the quality and authenticity of a business.
Recent Posts
- ScoreData launches intelligent monitoring-as-a-service (iMaaS™) for the Enterprise
- ScoreData and NTT DATA Announce Multi-Year Agreement to Deploy Nudge Engines in the Healthcare Insurance Industry
- How to Detect Fake Online Reviews using Machine Learning
- Building a Product Recommendation System for E-Commerce: Part II — Model Building
- Building a Product Recommendation System for E-Commerce: Part I — Web Scraping
Categories
Tags
Banking
bankrupt
CHAID Analysis
Churn
Cluster Analysis
Collection Analytics
Collections and Recovery Processes
Cross-sell
customer acquisition
Customer Engagement
Customer Relationship Management
customer retention
Customer Segmentation
customer’s LTV
Data Analytics
Debt Collection
Debt Management
Decision Science
diabetics
Financial services
First Time Defaulter
Fraud
Frauds proactively
healthcare
insurance
IVR
K-S statistics
Late Vintage Collection portfolio
Lazy Customers
Life time Value
Machine Learning
market basket
Point of No Return Customers
Post Delinquency Vintage
Predictive Analytics
Predictive Characteristic Analysis
Promise-to-Pay
Python
recommendation
Retail
Retail/CPG
revolvers
Runaway Spend
Telecom
Up-sell