Evidently AI

Generate sentiment reports, extract topics, and identify correlations in large text-based data volumes.

Freemium
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Web, API
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Data & AnalyticsWritingCode

Try Evidently AI free

Free plan available
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What is Evidently AI?

Evidently AI provides tools for analysing and understanding large volumes of text data through automated sentiment analysis, topic extraction, and correlation detection. It's designed for data teams and researchers who need to process customer feedback, reviews, surveys, or other text datasets at scale without manual coding. The platform focuses on making text analysis accessible by handling the computational heavy lifting; you can generate reports that reveal patterns in sentiment trends, discover the main topics people are discussing, and identify relationships between different text variables. It works well when you need quick insights from unstructured text but don't want to build NLP pipelines from scratch.

Key features

Sentiment analysis

scores text as positive, negative, or neutral with confidence levels

Topic extraction

automatically identifies and labels recurring themes across text datasets

Correlation analysis

finds relationships between text variables and other data dimensions

Batch processing

handles large volumes of documents efficiently

Report generation

creates summaries and visualisations of analysis results

API access

integrates text analysis into your existing workflows

Pros & cons

Advantages

Processes large text datasets without requiring coding expertise
Fast setup; no need to train custom models for basic analysis
Freemium model lets you try it with real data before committing
Returns structured data that's easy to visualise and act on
Supports multiple languages for international datasets

Limitations

Sentiment scores can miss nuance in sarcasm, context, or industry-specific language
Topic quality depends on data volume and text length; small datasets may produce unclear results
Free tier likely has rate limits or volume restrictions
Generic models may need refinement for domain-specific text (medical, legal, technical)