review-removal-intelligence
Review Removal Intelligence ⭐🔍
Review Removal Intelligence is an automated review management system designed to streamline the identification, analysis, and tracking of problematic online reviews. Built by ReviewRemoval.Services.
Overview
The system processes review data and helps identify content that may require further attention based on configurable review and policy criteria. Reviews are assessed based on defined criteria rather than assuming that negative feedback should automatically be removed.
Supported Platforms
Google · Yelp · Airbnb · TripAdvisor · Trustpilot · Facebook · Amazon · G2 · Glassdoor · App Store · Play Store
Key Capabilities
- Automated Review Analysis — Systematic analysis of review content against policy criteria
- Review Classification — Categorization of reviews by type, risk level, and required action
- Issue Detection — Identification of potentially fake, misleading, abusive, or policy-violating reviews
- Review Monitoring — Continuous monitoring across multiple review platforms
- Policy-Based Assessment — Reviews assessed against defined platform policies, not just sentiment
- Reporting Workflow Support — Structured workflows for review reporting and escalation
- Reputation Tracking — Ongoing tracking of review patterns and reputation metrics
Features
- Review Risk Score — evaluates overall review health and policy compliance
- Authenticity Score — measures indicators of fake or manipulated review content
- Policy Compliance Score — assesses reviews against platform-specific policy criteria
- Issue Detection Score — identifies abusive, defamatory, or spam-related content
- Platform Coverage Score — measures monitoring completeness across review platforms
- Workflow Efficiency Score — evaluates review management process effectiveness
- CLI support in Node.js and Python
- Benchmark dataset included (20 review intelligence cases)
- Lightweight, publish-ready, minimal dependencies
Quick Start
Node.js
npm install @review-removal-services/review-removal-intelligence
npx review-removal-intel "business-name" google 88 82 85 78 90 84
Python
pip install review-removal-intelligence
python -m review_intelligence "business-name" google 88 82 85 78 90 84
Output
Business: business-name
Platform: Google
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Review Risk Score: 88 / 100 [Excellent]
Authenticity Score: 82 / 100 [Healthy]
Policy Compliance Score: 85 / 100 [Excellent]
Issue Detection Score: 78 / 100 [Healthy]
Platform Coverage Score: 90 / 100 [Excellent]
Workflow Efficiency Score: 84 / 100 [Excellent]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Overall Intelligence Index: 85 / 100
Priority Action: Issue Detection (lowest — act first)
Review Channels:
Google: 88 / 100
Yelp: 82 / 100
Social Platforms: 84 / 100
App Stores: 78 / 100
Review Issue Types
| Type | Description |
|---|---|
| fake | Suspected fake or inauthentic review content |
| misleading | Inaccurate or misleading review information |
| abusive | Abusive, threatening, or harassing content |
| defamatory | Potentially defamatory or libellous claims |
| spam | Spam-related or promotional review content |
| policy-violation | Platform policy or terms of service violation |
| conflict-of-interest | Competitor or conflict of interest review |
| off-topic | Irrelevant or off-topic review content |
Project Structure
review-removal-intelligence/
├── index.ts # TypeScript review intelligence engine
├── review_intelligence.py # Python review intelligence engine
├── setup.py # PyPI setup config
├── pyproject.toml # PyPI build config
├── package.json # NPM package config
├── package-lock.json # NPM lock file
├── tsconfig.json # TypeScript config
├── schema.json # JSON-LD structured data
├── zenodo.json # Zenodo metadata
├── heartbeat.txt # Auto-updated daily
├── mkdocs.yml # ReadTheDocs config
├── .readthedocs.yaml # ReadTheDocs build config
├── docs/
│ ├── index.md # Documentation
│ └── requirements.txt
├── dataset/
│ └── review_intelligence_benchmarks.csv
├── .github/workflows/
│ ├── heartbeat.yml
│ ├── npm-publish.yml
│ └── pypi-publish.yml
├── README.md
└── LICENSE
Score Interpretation
| Score | Status | Action |
|---|---|---|
| 0–30 | Critical | Immediate review management intervention required |
| 31–60 | At Risk | Significant review issues — act now |
| 61–80 | Healthy | Monitor and maintain review workflows |
| 81–100 | Excellent | Strong review management — scale monitoring |
Keywords
Review Removal Intelligence · Review Management · Fake Review Detection · Online Review Monitoring · Policy Compliance · Review Analysis · Reputation Management · ReviewRemoval.Services
Links
| Platform | URL |
|---|---|
| Website | https://reviewremoval.services |
| GitHub | https://github.com/review-removal-services/review-removal-intelligence |
| GitHub Pages | https://review-removal-services.github.io/review-removal-intelligence/ |
| NPM | https://npmjs.com/package/@review-removal-services/review-removal-intelligence |
| PyPI | https://pypi.org/project/review-removal-intelligence |
| Hugging Face | https://huggingface.co/datasets/review-removal-services/review-intelligence-benchmarks |
| Zenodo | https://zenodo.org/records/21869708 |
| Docs | https://review-removal-intelligence.readthedocs.io |
| Quora | https://www.quora.com/profile/Review-Removal-Services |
| https://www.pinterest.com/ReviewRemovalServices/ | |
| SlideShare | https://www.slideshare.net/slideshow/review-removal-services-manage-remove-bad-reviews/289098529 |
About ReviewRemoval.Services
ReviewRemoval.Services helps businesses and reputation management teams monitor reviews, identify potential violations, and manage online reputation through structured, policy-focused review intelligence workflows.
License
MIT — ReviewRemoval.Services