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Review Removal Intelligence ⭐🔍

npm PyPI DOI

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
Pinterest 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

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