ELECTRA-Base++

The system accepts a text string and determines whether the movie review it contains expresses a positive or negative sentiment. It performs sentiment classification specifically for film-related text.

Behind this, a text embedding model trained on the WikiPedia and BookCorpus datasets generates a vector representation (embedding) of the input text. TensorFlow, the TensorFlow logo, and related marks referenced in this context are trademarks of Google Inc.

LLM mention score

Normalized 0–100 · last 8 weeks

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How to get LLM mention data →

// Fetch ELECTRA-Base++ mention score
POST /v3/content_analysis/summary
{
  "keyword": "ELECTRA-Base++",
  "type": "llm_mentions",
  "date_from": "2025-01-01"
}