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Sentiment, emotion and CSAT with decision models

Scoring tone, emotion, satisfaction or urgency in messages, reviews and transcripts.

54 public projects · page 2 of 2

  • Jev applied to SemEval-2026 DimABSA dimensional sentiment tasks using only typed primitives, no generation or fine-tuning.

    ProjectresearchPython
  • DuckDB extension and Python package for semantic SQL that batches row-level filters, joins and classification on Jev.

    PluginresearchC++
  • Standalone Jev-class emotion model: one pass over a message sequence returns calibrated PAD scores, an emotion family and yes/no judgments.

    Projectresearch
  • R client for TypeSafe's Jev with tidy helpers to run noul, choice and score questions over vectors and data frames.

    LibrarybetaR
  • Filament table filter that scores each row with a Jev Noul on a plain-English statement and keeps rows at or above 0.8.

    PluginbetaPHP
  • Web app that lints human prose like a compiler: Jev measures tone and information, code emits rustc-style diagnostics.

    DemobetaTypeScript
  • pandas and Polars .jev accessor for classifying, sentiment-scoring and grading DataFrame rows with Jev probabilities.

    DemobetaPython
  • Visualizer that sends every passage of a novel to Jev for nine emotion scores plus intensity and draws the book as an aurora poster.

    DemoprototypeTypeScript
  • Japanese demo judging the same utterance with Jev and an LLM to compare emotion-shift outputs and speed side by side.

    ServiceprototypeTypeScript
  • Zero-dependency single-page Jev classifier demo showing request JSON, probabilities, confidence, latency and token usage.

    AppprototypePython
  • Chinese 'emotion lie detector' demo comparing Jev's Choice, Score and Noul judgments on a message with a general LLM.

    CLIprototypePython
  • Local Python toolkit and web dashboard for trying Jev via OpenRouter or TypeSafe, with review analysis, topic routing and request history.

    ServiceprototypePython
  • Small Next.js mood tracker where Jev classifies a daily check-in into one of five moods and a 1-5 energy score.

    DemoprototypeTypeScript
  • Rust CLI of Jev experiments: HIPAA-style PHI detection, code-comment review, tone analysis and occupation classification.

    CLIprototypeRust
  • Audio-native Jev-style model: a frozen Whisper encoder encodes speech once and typed questions return emotion and prosody distributions.

    ServiceresearchPython
  • Next.js novel reader where Jev scores sentences near the viewport for eight emotions and highlights those above an adjustable threshold.

    AppresearchTypeScript
  • Benchmark comparing Jev, other decision models and LLMs on four judgments over 60 synthetic candidate-experience reviews.

    Benchmarkresearch
  • Benchmark of Jev 1.13.0 against 11 classical classification pipelines on eight datasets under a published protocol.

    BenchmarkresearchPython
  • Study of whether Jev's reading of financial news predicts stock returns: strong same-day signal, no tradeable alpha.

    BenchmarkresearchGo
  • Small reproducible benchmark of Jev against LLMs, fine-tuned BERT, Laya and zero-shot NLI on SST-2, AG News and Banking77.

    BenchmarkresearchPython
  • Android chat copilot: Jev judges intent, needs and risk in visible chats, then ranks drafted replies to fill, never send.

    Hook
  • Web demo where you paste text and Jev suggests the best-fitting emoji.

    Demoprototype
  • Web demo where you talk nicely or nastily over time and a structured state, updated by Jev, tracks the character's mood.

    Appprototype
  • Web tool that analyses Telegram channel JSON exports locally for intent, quality, sentiment and speaker tone with Jev.

    Articleprototype