---
title: Review Intelligence Platform
colorFrom: blue
colorTo: yellow
sdk: docker
app_port: 7860
pinned: false
preload_from_hub:
  - cardiffnlp/twitter-xlm-roberta-base-sentiment
  - MoritzLaurer/multilingual-MiniLMv2-L6-mnli-xnli
  - sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
---

# Review Intelligence Platform

Review Intelligence is a desktop-first review analysis workspace that turns noisy public feedback into a readable report. It accepts a single source or a two-source comparison, runs a multilingual analysis pipeline, and returns a structured dashboard with evidence, summaries, and exports.

## What Was Built

- Single-source analysis flow for YouTube, Play Store, Amazon, CSV, and raw review text
- Compare flow for side-by-side source evaluation
- Live progress timeline with background job tracking
- Session-based report history in the browser
- JSON export and server-side PDF export
- Desktop-focused report UI with source profiles, charts, evidence blocks, and comparison views

## Supported Sources

- `YouTube`
  - real video metadata
  - real top-level comments through the YouTube Data API
- `Play Store`
  - app metadata
  - live review fetch through `google-play-scraper`
- `Amazon`
  - product metadata
  - live public review snippets from product pages
- `CSV`
  - secure CSV parsing with path, size, and row limits
- `Raw text`
  - direct review blocks or pasted feedback

## Analysis Layers

- Multilingual sentiment analysis
- Emotion classification
- Comment-type separation
  - opinion
  - reaction
  - lyric quote
  - personal story
  - spam/noise
- Weighted sentiment scoring using review engagement signals
- Aspect insights with evidence examples
- Semantic conversation clusters
- Executive summary
- Trust and confidence notes
- Trend timeline when dated review data exists
- Language mix detection across multiple scripts

## Report Output

Each report can include:

- source profile and metadata
- executive summary
- report card and score dimensions
- sentiment and emotion visuals
- semantic topic clusters
- aspect insights
- representative comments
- separated comment-type samples
- trust overview
- analyst brief
- downloadable JSON and PDF reports

## Compare Output

Compare mode builds two full analyses and then derives:

- overall winner
- weighted sentiment edge
- score rows across key dimensions
- overlap vs unique themes
- overlap vs unique aspects
- one-line comparison verdict
- direct links back to the full left and right reports

## Technical Shape

- Frontend
  - React
  - Vite
  - Tailwind CSS
  - Recharts
- Backend
  - FastAPI
  - async background job flow
  - SSE progress streaming
  - in-memory or Redis-backed session storage
- NLP / ML
  - `cardiffnlp/twitter-xlm-roberta-base-sentiment`
  - `MoritzLaurer/multilingual-MiniLMv2-L6-mnli-xnli`
  - `sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2`
- Export
  - server-generated PDF via ReportLab

## Project Characteristics

- Desktop-first interface
- Multilingual review handling
- Background analysis with progress updates
- Structured logging
- Targeted backend test suite
- Hugging Face Docker Space compatible

## Current Constraints

- Amazon support depends on public page structure and can be less stable than API-backed sources
- Sessions are temporary by design
- First model load can be slower on a fresh environment
- The interface is intentionally desktop-first, not mobile-optimized

## License

MIT