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sentiment-analyzer

v3.0.0@nlp-worksCommercial
AXIS Verified — T2/AAA

Analyze text sentiment across 30+ languages using a compact transformer model compiled to WASM. Returns sentiment scores (positive/negative/neutral), emotion labels (joy, anger, sadness, etc.), and confidence values. Fine-tuned on social media and customer feedback data.

Install
$ naos marketplace install sentiment-analyzer
Total Calls

3.2M

Avg Latency

45ms

Rating

4.8

892 reviews

Success Rate

99.6%

Patterns

Natural language patterns that route to this skill via the broker:

"sentiment analysis""analyze sentiment""emotion detection""text mood"

Resource Limits

Max Input

50KB

Max Execution

500ms

Memory Limit

1GB

Inputs & Outputs

Inputs

string

Outputs

json

Skill PlaygroundLIVE

Analyze positive sentiment with emotion detection

INPUT
OUTPUT

Click "Run" to execute the skill

WASM Sandbox Isolated Max 100ms

Usage Examples

Add sentiment analysis to your agent's NLP pipeline

TOML
[agent.skills]
sentiment-analyzer = { version = "^1.0.0" }

[[agent.routes]]
pattern = "analyze sentiment"
skill   = "sentiment-analyzer"
input   = "{{ message.content }}"

Version History

2 releases

Changes

  • Performance optimizations reducing average latency by 10%
  • Updated dependency chain for improved security
  • Minor bug fixes and stability improvements
4.2 MB 64K installs 2026-04-01

Changes

  • Core ai / ml engine built in Rust/WASM
  • Full pattern matching support for broker integration
  • Comprehensive error handling and input validation
  • AXIS trust verification and sandbox compliance
-8 KB 256K installs 2025-05-01

Dependencies & Related Skills

Commonly Used With

Reviews(5)

4.2

5 reviews

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Sarah Kim

@skim-ai

Verified20 days ago

Transformed our NLP pipeline

The sentiment analysis is remarkably accurate across English, Spanish, and Korean. Emotion detection adds a layer our previous solution didn't have. Worth every cent.

Emma Wilson

@ewilson

Verified1 months ago

Clean API, great results

The structured output with confidence scores makes it easy to build reliable downstream logic. We use this for email validation in our onboarding flow and it catches 99% of bad addresses.

Dev Patel

@devp

Verified2 months ago

Good but could be faster

Works well for most use cases but latency spikes on very large inputs. The 200ms timeout is tight for documents over 2MB. Hope to see optimizations in the next version.

Carlos Ruiz

@cruiz

2 months ago

Reliable CSV handling

Handles edge cases that broke our previous parser — quoted fields, embedded newlines, mixed encodings. The schema detection is a nice bonus. Free tier is generous.

Yuki Tanaka

@yuki-t

Verified2 months ago

Solid performance, good value

At $0.0001/call this is a steal. We process millions of JSON documents monthly and the cost is negligible. Would give 5 stars if streaming support was added.

$0.0005/call

Developer earns $0.00035/call (70%)

CategoryAI / ML
WASM Size4.2 MB
Updated10 days ago
Created11 months ago
View Source

Publisher

N

NLP Works

@@nlp-works

AXIS TrustT2/AAA
T-Score91

AUID

axis:company:nlpworks:01ia0n5p6q7r8s9t0u1v2w3x4y:d6i0

Revenue Split

Developer70%
Nexus25%
Stripe5%

Changelog Feed

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https://registry.nexus.os/skills/sentiment-analyzer/changelog.rss

Current: v3.0.0 · Feed includes changelogs, breaking changes, and security advisories.