AI-powered sentiment analysis
from data source to decision
One unified platform for NLP-based sentiment scoring, emotion detection, social listening, brand intelligence, and VOC analytics — built for real-time scale.
Multi-dimensional sentiment and emotion analysis
Sentispec's NLP engine goes beyond binary positive/negative classification. Our transformer-based models analyze sentiment at the sentence, phrase, and aspect level — detecting eight primary emotion dimensions including joy, anger, fear, trust, anticipation, surprise, disgust, and sadness.
- Aspect-Based Sentiment Analysis (ABSA) for product attributes
- Emotion intensity scoring (0–100 per dimension)
- Sarcasm and irony detection using contextual cues
- Intent classification: complaint, praise, question, suggestion
- Sentence-level and document-level aggregation
Real-time monitoring across every channel
Connect unlimited data sources and receive continuous sentiment analysis as new content appears. Monitor brand mentions, competitor activity, keyword trends, and emerging narratives across social media, news, forums, and review platforms — all from a single dashboard.
- Sub-minute ingestion from connected sources
- Boolean and semantic search query builder
- Automatic de-duplication and spam filtering
- Influencer reach scoring on flagged mentions
- Historical backfill up to 24 months
Automated brand health and competitive reports
Sentispec generates scheduled brand health reports with trend analysis, competitive benchmarking, and actionable recommendations. Set the cadence, define your competitors, and receive executive-ready summaries delivered to your inbox or Slack.
- Brand health score — composite of sentiment, volume, and reach
- Competitor share-of-voice tracking
- Week-over-week trend annotations
- Crisis detection with automatic escalation alerts
- Exportable reports in PDF, PPTX, and CSV formats
How Sentispec Works
From raw text data to decision-ready intelligence in five steps.
Connect Sources
Link your data sources — social platforms, review sites, support systems, or custom APIs. Sentispec begins ingesting immediately.
Ingest & Clean
Our pipeline deduplicates, filters spam, normalizes language variants, and routes data to the correct NLP models by content type.
Analyze & Score
Transformer-based models score sentiment, emotion, intent, and topic across every piece of content. Results are available within 50ms.
Surface Insights
Aggregated results populate dashboards, trend charts, and topic clusters. Real-time alerts fire when thresholds are crossed.
Act & Export
Share reports, export data to your warehouse via API, or push alerts to Slack, email, or your CRM. Your insights feed every downstream system.
Integrates With Your Stack
Sentispec's API and native connectors fit into any modern data infrastructure.
RESTful API
Full API access with JSON responses, webhook support, and batch endpoints. SDKs available for Python, Node.js, and Ruby.
Data Warehouse Export
Stream processed sentiment data directly to Snowflake, BigQuery, or Redshift for analysis alongside your other business metrics.
BI Tool Connectors
Pre-built connectors for Tableau, Power BI, and Looker. Embed Sentispec dashboards directly in your existing reporting environment.
Platform Performance
97.3%
Sentiment classification accuracy on benchmark datasets (English)
<50ms
P95 inference latency for single-document analysis
120+
Languages supported with accuracy benchmarks above 90%
Ready to See Sentispec in Action?
Get a personalized demo tailored to your industry and data sources. No credit card required to start your trial.