Sentiment Vision - Sentiment analysis API
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Text Analytics · AI

Sentiment Vision

Binary sentiment analysis with high accuracy. Achieves 89.2% on IMDB and 91.5% on SST-2. Strong cross-domain transfer. Available via REST API for reviews, social media, support tickets, and content analytics.

89.2%IMDB Accuracy
91.5%SST-2 Accuracy
87.7%Cross-domain
~100/secThroughput
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API Access

Integrate via REST API.

Send text and receive Positive or Negative sentiment with confidence scores. Supports batch processing. Up to 512 tokens per input. Optimized for reviews, social posts, and short-form content.

Sample response:

{
  "label": "POSITIVE",
  "score": 0.998,
  "processing_time_ms": 12
}
  • Binary classification: Positive / Negative
  • Confidence scores for every prediction
  • ~100 samples/second on GPU
  • 512 token max input length
  • Batch processing for high-volume workloads

Validated Performance

Trained on 50,000+ samples from IMDB and Stanford SST-2. Excellent cross-domain transfer (87.7%). Best for English text. Strong on reviews, social content, and short-form sentiment.

89.2%IMDB Accuracy
91.5%SST-2 Accuracy
87.7%Cross-domain
~100/secThroughput

Binary output only. Best suited for reviews, feedback, and explicit sentiment. Consider confidence thresholds for routing and escalation.

Commercial Use Cases

Built for real workflows.

Movie & entertainment

Classify sentiment in reviews, ratings, and audience feedback. Content recommendation. Early box office prediction from review sentiment.

Social media & brand monitoring

Track sentiment around products and campaigns. Analyze tweets, posts, and mentions. Measure campaign effectiveness in real time.

E-commerce & product reviews

Classify customer feedback sentiment. Prioritize negative reviews for response. Analyze consumer trends across categories.

Customer support & tickets

Triage support tickets by sentiment. Route urgent negative feedback. Measure resolution satisfaction from replies.

Content & media

News and article sentiment classification. Content moderation. Understand reader reaction to editorial and features.

Market research

Consumer sentiment trends. Competitive analysis. Voice-of-customer analytics at scale.

Chat & conversation analytics

Sentiment in live chat and messaging. Bot handoff triggers. Quality assurance for conversation flows.

Streaming & platform analytics

User review sentiment for content. Recommendation signals. Churn prediction from feedback.

Financial services

Earnings call and report sentiment. Market sentiment from news and social. Risk and compliance monitoring.

HR & employee feedback

Pulse surveys and exit interview sentiment. Anonymous feedback analysis. Engagement and culture insights.

AI agent quality

Evaluate bot response sentiment. Improve conversational AI. Detect when to escalate to humans.

Localization & markets

Sentiment across regions and languages. Compare reception by market. Inform localization decisions.

Why it matters

Sentiment at scale.

High throughput

~100 samples/second on GPU. Real-time for live streams. Batch processing for historical analysis.

Cross-domain transfer

87.7% accuracy when transferring between domains. Generalizes from reviews to social to support.

Confidence scores

Every prediction includes a score. Set thresholds for escalation. Integrate with triage and routing.

Get started

Interested in access?

Get API access or discuss deployment. We work with e-commerce, brands, support teams, and platforms. Technical specs and batch pricing available upon request.

Request API Access