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openai/generating-reviews-discovering-sentiment

Code for "Learning to Generate Reviews and Discovering Sentiment" observed · 2026-08-28

github.com/openai/generating-reviews-discovering-sentiment · homepage · Python · MIT (permissive) · archived observed · 2026-08-28

Health v2 · maintenance only

10/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases archived

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3436
  • days_rel: n/a
  • days_push: 1162
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1521 stars · 375 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Research code accompanying the OpenAI paper 'Learning to Generate Reviews and Discovering Sentiment', providing a byte-level multiplicative LSTM language model used as a text feature extractor. It includes a pretrained 4,096-unit model whose features contain a 'sentiment neuron' that achieves strong results on the Stanford Sentiment Treebank.

Use cases

  • extract features from text with a pretrained language model
  • classify sentiment of product reviews
  • reproduce the sentiment neuron paper results
  • visualize the sentiment unit on the SST binary dataset
  • experiment with unsupervised representation learning

When to choose

  • you want to reproduce or study the 2017 sentiment neuron research
  • you need a character-level feature extractor for sentiment experiments
  • you are exploring unsupervised disentangled representations

When to avoid

  • you need a maintained, production-ready NLP library
  • you want modern transformer-based embeddings
  • you need GPU support on current CUDA versions or recent Python compatibility

Facets

library · maturity abandoned

machine-learning nlp deep-learning machine-learning deep-learning python sentiment-analysis language-model feature-extraction research-code sentiment-neuron archived lstm paper-code natural-language-processing

6 sources

Member repositories

For agents

markdown · JSON · MCP: product_card(name="openai/generating-reviews-discovering-sentiment")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem