Sentiment Analysis

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Classifies the sentiment and emotional tone of text — reviews, support tickets, social posts, and survey responses. Supports document-level and aspect-based sentiment, returns confidence scores and representative quotes, and aggregates trends across large batches with themes and actionable insights.

sentimentnlptext-classificationreviewsfeedbackanalytics

Варианты использования

  • Classifying customer reviews as positive, negative, or neutral
  • Aspect-based sentiment on product features
  • Triaging support tickets by frustration level
  • Tracking sentiment trends across a batch of survey responses
  • Surfacing representative quotes for each sentiment theme

Пример промпта

Analyze the sentiment of the following customer reviews. For each review return:
- overall sentiment (positive/negative/neutral) with a confidence score
- aspect-based sentiment (e.g., price, quality, support)
Then provide an aggregate summary: sentiment distribution, top themes, and 3 representative quotes.

Reviews:
```
[paste reviews here]
```

Рекомендуемые модели

claude-opus-4-8gpt-5-5gemini-3-flashdeepseek-v4

Совместимые инструменты

claude-codekiroany

Модальности

Вход: text
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Выход: text

Похожие Skills

data-analysisresearch-summarizer

Автор

OpenModels Community

@openmodelsrun