TextNut
TextNut is a text analysis and data extraction software. It allows users to analyze text documents and webpages to extract key data points, entities, relationships and insights. The software utilizes natural language processing and machine learning for advanced text analytics.
text-analysis
data-extraction
natural-language-processing
machine-learning
TextNut: Text Analysis & Data Extraction Software
Text analysis and data extraction software utilizing NLP & ML for extracting key data points, entities, relationships and insights from text documents and webpages.
What is TextNut?
TextNut is an advanced text analytics and data extraction software designed to help users analyze text documents and webpages to extract valuable insights. It utilizes the latest natural language processing and machine learning algorithms to deliver powerful capabilities.
Some of the key features and benefits of TextNut include:
- Entity extraction - Automatically identify people, organizations, locations and other key entities in text.
- Relationship extraction - Discover relationships between entities to map out connections and networks.
- Sentiment analysis - Determine if the sentiment around keywords, topics or entities is positive, negative or neutral.
- Automated summarization - Generate concise summaries preserving key points and overall meaning.
- Customizable dashboards - Visualize valuable insights from text analysis via customizable dashboards.
- Support for major file formats - Analyze Word documents, PDFs, TXT files, webpages and more.
- Collaboration tools - Share reports and annotations with team members to collaborate on analysis.
- Workflow automation - Set up and automate repetitive analysis workflow.
With an intuitive and easy-to-use interface, TextNut enables both technical and non-technical users to maximize value from text data across a variety of applications like market research, competitive intelligence, legal discovery and more.
TextNut Features
Features
- Text analysis
- Data extraction
- Entity extraction
- Relationship extraction
- Sentiment analysis
- Topic modeling
- Summarization
- Keyword extraction
- Language detection
- Text classification
Pricing
- Freemium
- Subscription-based
Pros
User-friendly interface
Support for multiple file formats
Real-time text analytics
Visualization tools
Flexible pricing options
Good accuracy for NLP tasks
Cons
Limited customization options
No open source version
Steep learning curve for advanced features
Official Links
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