Two-pass intelligence.
No competitor does this.
17
Sources Scraped
Reddit, Quora, Twitter, Trustpilot, Instagram, TikTok, LinkedIn, HN, PubMed, eBay, Steam...
13
NLP Analyses
BERTopic, VADER, spaCy NER, Empath, readability, negation, causal claims, emotional entropy...
28
LLM Analyses
UNDERSTAND(6), STRATEGIZE(16), EXECUTE(4), DONE-FOR-YOU(2). Grounded against NLP truth.
1
Unified Brief
Blend synthesis. All 41 analyses merged. Deployable intelligence, not a dashboard.
Deterministic NLP creates statistical ground truth. LLMs are grounded against those anchors. They cannot contradict the math. Pure NLP = limited. Pure LLM = hallucinations. Both, anchored = intelligence.
"LLM outputs grounded against deterministic NLP anchors reduced hallucination rates by 73% compared to unconstrained generation, while preserving the flexibility advantages of large language models for nuanced text analysis."
Implication: Hybrid NLP+LLM pipelines outperform either approach alone on information extraction tasks requiring both statistical rigor and semantic understanding.
BERTopic
Grootendorst, 2022. Neural topic modeling with class-based TF-IDF.
VADER
Hutto & Gilbert, 2014. Valence Aware Dictionary for Sentiment Reasoning.
Empath
Fast et al., 2016. Psycholinguistic lexical categories at scale.
spaCy NER
Honnibal & Montani, 2017. Industrial-strength NLP entity recognition.