openclaw-genpark-talktoreview-marketer

OpenClaw GenPark TalkToReview Marketer is a zero-dependency customer sentiment intelligence and brand reputation engine implementing Aspect-Based Sentiment Analysis (ABSA), Benford's Law and Poisson burst review fraud anomaly detection, and automated HEAR framework reputation recovery copywriting.

flowchart TD
    A[Customer Review Text] --> B[Sentence-Level ABSA Tokenizer]
    B --> C[Aspect Polarities: Shipping, Quality, Usability]
    D[Review Batch Stream] --> E[Benford's Law & Poisson Burst Engine]
    E --> F[Authenticity & Fraud Anomaly Score]
    G[1-Star / Negative Review] --> H[HEAR Framework Generator]
    H --> I[Empathic Recovery & Priority Support Escalation]

Features

• Aspect-Based Sentiment (ABSA): Evaluates granular sentiment polarities across distinct dimensions (shipping, product quality, service, usability).
• Fraud Anomaly Auditor: Flags fabricated review campaigns using Benford's Law digit deviations and Poisson temporal clustering bursts.
• HEAR Recovery Framework: Generates empathic, brand-aligned responses to de-escalate churn and recover customer trust.

Quickstart

from client import OpenClawGenParkTalkToReviewMarketer

marketer = OpenClawGenParkTalkToReviewMarketer()
res = marketer.decompose_aspect_based_sentiment("Quality is top notch but shipping took forever.")
print("Quality:", res["aspects"]["quality"]["status"])

License

MIT