Premonition Analytics
Premonition Analytics: AI-Powered Text Analysis
Discover Premonition Analytics, a software solution leveraging AI and NLP for extracting insights from unstructured text data, documents, and patterns.
What is Premonition Analytics?
Premonition Analytics is an advanced analytics software that leverages artificial intelligence and natural language processing techniques to analyze and extract insights from unstructured text data and documents. The software can ingest large volumes of documents in various formats such as PDFs, Microsoft Office files, emails, HTML pages, scanned images and more.
Some of the key capabilities of Premonition Analytics include:
- Information Extraction - Automatically identify and extract entities (people, organizations, locations), facts, relationships, events and other structured data points from unstructured text content.
- Concept Tagging - Recognize and tag documents with meaningful concepts and themes that summarize the content.
- Sentiment & Tone Analysis - Detect overall sentiment (positive, negative, neutral) and subtle emotional tones communicated in documents.
- Document Similarity - Find connections and similarities between documents based on the underlying concepts and content using vectorization and clustering.
- Forecasting & Trend Analysis - Uncover subtle trends and patterns in documents over time and make predictions about future occurrences.
- Risk Detection - Flag potential risks, warning signs and anomalies automatically surfaced through an analysis of unstructured data.
- Automated Document Tagging - Automatically assign relevant tags and classifications to documents to aid search and discovery.
The intuitive dashboards and visualization tools provided by Premonition enables both technical and non-technical users to benefit from the insights extracted from their text data. With robust information security and scalability, it can handle text analytics needs across industries such as legal, banking, insurance, government and more.
Premonition Analytics Features
Features
- Natural language processing
- Machine learning
- Entity extraction
- Relationship extraction
- Sentiment analysis
- Quantitative data extraction
- Pattern detection
Pricing
- Subscription-Based
Pros
Cons
Official Links
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