NetOwl TextMiner

NetOwl TextMiner

NetOwl TextMiner offers advanced text analytics capabilities, integrating entity extraction, relationship mapping, sentiment analysis, and geotagging into a robust software solution. Its user-friendly web interface allows for efficient navigation through vast text data, enabling precise filtering of information. Powered by Elasticsearch, it facilitates real-time analysis, supporting insightful research and discovery.

Top NetOwl TextMiner Alternatives

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DiscoverText

This innovative platform equips users with multilingual text mining and data science features, enabling quick evaluation of extensive text datasets.

2

Dcipher Analytics

This innovative text analytics platform empowers users to swiftly transform unstructured text into actionable insights.

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SAS Visual Text Analytics

SAS Visual Text Analytics empowers users to efficiently analyze and extract insights from vast amounts of text data.

4

Microsoft Text Analytics API

The Microsoft Text Analytics API is a robust cloud-based service within the Azure Cognitive Services suite, designed for advanced Natural Language Processing (NLP).

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SAS Sentiment Analysis

SAS Sentiment Analysis leverages advanced natural language processing, machine learning, and linguistic rules to automatically detect sentiment and relationships within vast text data.

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Thematic

Leveraging advanced natural language processing, Thematic transforms customer feedback into actionable insights and themes in near real-time.

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SAS Contextual Analysis

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MonkeyLearn

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Google Cloud AutoML Natural Language

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IBM Watson Personality Insights

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Amenity Analytics

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NewSci Platform

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Gavagai

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TAS Text Analytics System

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Provalis Research WordStat

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Top NetOwl TextMiner Features

  • Entity and relationship extraction
  • Sentiment analysis visualization
  • Comprehensive biography construction
  • Faceted search capability
  • Semantic ontology tree organization
  • Hyperlinked entity profiles
  • Smart geotagging integration
  • Event and relationship mapping
  • Graph view of connections
  • Multilingual support for analysis
  • Elasticsearch indexing and retrieval
  • Customizable web-based UI
  • Real-time text analysis
  • Intelligent search capabilities
  • Timeline sentiment analysis
  • Frequent sentiment-bearing terms display
  • Document filtering by event types
  • Big Data scalability
  • Quick response investigation support
  • "What if" analysis functionality