> ## Documentation Index
> Fetch the complete documentation index at: https://docs.rushed.com.br/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Classification

> How Rushed classifies every article — sectors, topics, urgency, content types, sentiment, market impact, entity extraction, and scoring.

## Overview

Every article ingested by Rushed goes through a deep AI classification pipeline that extracts structured intelligence from unstructured news. This page explains every dimension of classification.

## Sectors (25)

Every article is classified into a primary sector:

| Code  | Sector      | Code  | Sector         | Code  | Sector         |
| ----- | ----------- | ----- | -------------- | ----- | -------------- |
| `FIN` | Finance     | `TRA` | Transportation | `FIP` | Private Equity |
| `TEC` | Technology  | `COM` | Communications | `CIE` | Science        |
| `SAU` | Healthcare  | `SER` | Services       | `DEF` | Defense        |
| `ENE` | Energy      | `GOV` | Government     | `CUL` | Culture        |
| `MAT` | Materials   | `ESP` | Sports         | `EDU` | Education      |
| `IND` | Industrial  | `CRY` | Crypto         | `AMB` | Environment    |
| `CON` | Consumer    | `AGR` | Agriculture    | `SOC` | Social         |
| `IMO` | Real Estate |       |                | `TUR` | Tourism        |

## Topics (28)

Articles are tagged with one or more topics describing the subject matter:

| Code  | Topic                    | Description                                             |
| ----- | ------------------------ | ------------------------------------------------------- |
| `M&A` | Mergers & Acquisitions   | Buyouts, sales, corporate incorporations                |
| `IPO` | Public Offerings         | IPOs, follow-ons, delistings                            |
| `RES` | Financial Results        | Quarterly/annual earnings, revenue, balance sheets      |
| `DIV` | Dividends                | Dividend distributions, interest on equity              |
| `REG` | Regulation               | Laws, rules, oversight, compliance                      |
| `POL` | Politics                 | Elections, government, congress, judiciary              |
| `MAC` | Macroeconomics           | GDP, inflation, interest rates, FX, employment          |
| `ESG` | ESG / Sustainability     | Environmental, social, and corporate governance         |
| `INO` | Innovation / R\&D        | New products, patents, research & development           |
| `CRI` | Crisis / Scandals        | Fraud, recalls, accidents, reputation                   |
| `EXE` | Executives / Leadership  | CEO changes, board shifts, senior management            |
| `TRB` | Labor                    | Strikes, mass layoffs, labor agreements                 |
| `INT` | International            | Foreign trade, geopolitics, sanctions                   |
| `JUR` | Legal                    | Lawsuits, court rulings, arbitration                    |
| `EXP` | Expansion / Contraction  | Opening/closing of units and markets                    |
| `PAR` | Partnerships / Contracts | Commercial agreements, joint ventures                   |
| `DEB` | Debt / Credit            | Bond issuances, renegotiations, credit ratings          |
| `TRF` | Sports Transfers         | Player signings, loans, contract clauses                |
| `CPT` | Championships            | Leagues, tournaments, standings, playoffs               |
| `INF` | Infrastructure           | Construction, railways, roads, utilities, PPPs          |
| `CLI` | Climate / Extreme Events | Floods, droughts, hurricanes, wildfires                 |
| `SEG` | Security / Crime         | Police operations, trafficking, federal investigations  |
| `SAP` | Public Health            | Pandemics, vaccination, epidemics, public health policy |
| `ELE` | Elections                | Candidates, polls, electoral courts, campaigns          |
| `TRI` | Tax / Fiscal             | Tax reform, duties, ICMS, VAT, exemptions               |
| `CIB` | Cybersecurity / Privacy  | Hacks, data breaches, LGPD, ransomware                  |
| `EDI` | Editorial / Opinion      | Editorials, columns, expert analysis                    |

## Content types (7)

Each article is classified by content type with an impact multiplier:

| Type        | Multiplier | Description                            |
| ----------- | ---------- | -------------------------------------- |
| `BREAKING`  | 2.0x       | Breaking news, first report            |
| `REPORT`    | 1.5x       | In-depth report or investigation       |
| `ANALYSIS`  | 1.2x       | Expert analysis or opinion piece       |
| `INTERVIEW` | 1.1x       | Interview with source                  |
| `NEWS`      | 1.0x       | Standard news article                  |
| `PRESS`     | 0.8x       | Press release, corporate communication |
| `RUMOR`     | 0.5x       | Unconfirmed, speculative               |

## Urgency levels (4)

| Level      | TTL      | Description                                 |
| ---------- | -------- | ------------------------------------------- |
| `CRITICAL` | 15 min   | Market-moving, requires immediate attention |
| `HIGH`     | 2 hours  | Significant, time-sensitive                 |
| `MEDIUM`   | 12 hours | Relevant, not urgent                        |
| `LOW`      | 48 hours | Background, reference                       |

## Sentiment analysis (5 levels)

| Label            | Range         | Confidence               |
| ---------------- | ------------- | ------------------------ |
| `MUITO_POSITIVO` | 0.7 to 1.0    | High confidence required |
| `POSITIVO`       | 0.3 to 0.69   |                          |
| `NEUTRO`         | -0.29 to 0.29 |                          |
| `NEGATIVO`       | -0.69 to -0.3 |                          |
| `MUITO_NEGATIVO` | -1.0 to -0.7  | High confidence required |

## Market impact (4 dimensions)

Every article is scored on its potential market impact:

| Dimension      | Values                                                            |
| -------------- | ----------------------------------------------------------------- |
| **Level**      | `ALTO`, `MEDIO`, `BAIXO`, `NENHUM`                                |
| **Horizon**    | `IMEDIATO` (\<24h), `CURTO` (1–7d), `MEDIO` (1–3m), `LONGO` (>3m) |
| **Scope**      | `EMPRESA`, `SETOR`, `MERCADO`, `ECONOMIA`                         |
| **Confidence** | `CONFIRMADO`, `PROVAVEL`, `ESPECULATIVO`                          |

## 5-Dimension scoring (0–100)

Each article receives a composite score across 5 dimensions:

| Dimension                  | Range    | Description                                                    |
| -------------------------- | -------- | -------------------------------------------------------------- |
| **Source Score**           | 5–25     | Source credibility tier (TIER\_1 = Bloomberg, Reuters = 21–25) |
| **Depth Score**            | 3–15     | Investigation depth vs. flash news                             |
| **Exclusivity Score**      | 0–20     | Scoop vs. republication                                        |
| **Financial Impact Score** | 0–40     | Potential market impact                                        |
| **Type Multiplier**        | 0.6–2.0x | Content type multiplier                                        |

## Entity extraction (10 types)

Rushed extracts structured entities from every article:

| Type          | Fields             |
| ------------- | ------------------ |
| `COMPANY`     | name, ticker, CNPJ |
| `PERSON`      | name, role         |
| `INSTITUTION` | name               |
| `TICKER`      | symbol             |
| `LOCATION`    | name               |
| `EVENT`       | name               |
| `PRODUCT`     | name               |
| `LAW`         | name, number       |
| `MONETARY`    | value, currency    |
| `METRIC`      | value, unit        |

For each entity: mention count, prominence score, sentiment toward entity, `is_in_title`, `is_in_lead`.

## Bilingual translation

Every article is translated in both directions:

| Language | Tone                                             | Fields                   |
| -------- | ------------------------------------------------ | ------------------------ |
| **PT**   | Editorial, direct — clear and objective          | title, subtitle, summary |
| **EN**   | Punchy, conversational — accessible and engaging | title, subtitle, summary |