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NetOwl

by NetOwl · Since 1996
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ActiveAvailable globallyCloudOn-premise
Quick facts
VendorNetOwl
Year launched1996
StatusActive
Location3150 Fairview Park Dr., Falls Church, VA 22042 United States
Countries servedGlobal
Languages1
Integrations1+
Free tier
Free trial
Contact salesYES

About NetOwl

NetOwl is a text analysis software from NetOwl that focuses on providing advanced data extraction and analysis capabilities. It combines natural language processing, entity recognition, and sentiment analysis so users can gain deeper insights from unstructured text data. Designed for scalability, NetOwl supports multiple languages and can process large volumes of text in real-time. The software is particularly useful for industries such as finance, healthcare, and legal, where extracting pertinent information from vast datasets is crucial. Key capabilities: natural language processing entity recognition sentiment analysis multi-language support real-time processing Best for: organizations that need to analyze large text datasets for actionable intelligence.

NetOwl is a powerful software solution designed for customer experience and social media monitoring. With standout features such as advanced natural language processing capabilities and entity extraction, NetOwl offers users the ability to analyze vast amounts of data from various sources to gain valuable insights into customer sentiment and trends. The user interface of NetOwl is intuitively designed, making it easy for users to navigate and access the software's functionalities. The dashboard layout is clean and organized, with customizable widgets that allow users to tailor their views based on their specific needs. One unique design element that enhances the user experience is the interactive visualizations that help users quickly identify patterns and trends in the data. One of the core functionalities that set NetOwl apart from its competitors is its ability to accurately identify and extract entities from unstructured text, such as names, locations, and organizations. This capability allows users to gain a deeper understanding of their customers and their interactions with the brand.

Pros & Cons

What users like
  • +Advanced text analytics capabilities for social media monitoring
  • +Real-time monitoring of online conversations and sentiment analysis
  • +Ability to detect trends, identify influencers, and track brand mentions
  • +Customizable dashboard for easy visualization of key metrics.
What users flag
  • Steep learning curve for new users
  • Limited customization options for alerts and monitoring
  • Lack of integration with certain social media platforms
  • Limited customer support options
  • Reports of occasional bugs and glitches in the software

Features

Key features

Multilingual Text & Identity Analysis
Analyzes big data from various text sources (reports, web, social media) and structured entity data across multiple languages, including cross-language matching.
Highly Accurate Extraction
Utilizes AI (NLP, ML, computational linguistics) to extract entities (people, organizations, places, etc.), semantic relationships, and events with high precision.
Advanced Sentiment Analysis
Offers nuanced entity- and aspect-based sentiment analysis that goes beyond simple positive/negative, pinpointing sentiments about specific entities or their attributes.
Intelligent Geotagging
Accurately assigns latitude/longitude to geographic references in text, enabling geospatial analysis.
Robust Identity Resolution
Provides industry-leading accurate and fast name matching (e.g., for watch lists, fraud detection, KYC) and entity resolution based on multiple attributes.
Semantic Search & Discovery
Enhances search capabilities by allowing users to navigate data through semantic concepts, filter by entities/events, and generate comprehensive entity biographies.
Scalability & Performance
Designed for processing and analyzing massive volumes of data in real-time, deployable on various big data platforms.
Flexible Deployment
Can be deployed on-premise or in the cloud, with support for modern containerization technologies like Docker and Kubernetes.

Additional features

Text Analytics
Entity Extraction (Named Entities, Temporal Expressions, Numeric Expressions), Relationship Extraction (e.g., "Person works for Organization"), Event Extraction (e.g., "Merger," "Attack"), Fine-grained Sentiment Analysis (Entity-based, Aspect-based, Multilingual), Smart Geotagging (Lat/Lon assignment, Geospatial Indexing), Text Categorization/Classification, Name Translation.
Identity Analytics
Name Matching (Cross-lingual, Multicultural, Ethnicity-sensitive, handles variations/misspellings), Entity Resolution (Identity deduplication, linkage based on names, dates, locations, social networks).
Text Mining (NetOwl TextMiner)
Web-based User Interface, Faceted Search (semantic Browse), Automated Biography Generation (for people, organizations, places), Integrated Geospatial View (map visualization), Integrated Link Analysis View (graph visualization of relationships), Customizable dashboards.
Technical Capabilities
AI-based (NLP, ML, Computational Linguistics), Scalable for Big Data (supports Hadoop, HPCC, Elasticsearch), Deployable On-premise/Cloud, REST APIs for integration, Docker and Kubernetes support, Real-time processing.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
1
Interface languages
13
Billing currencies

Interface languages

English

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF🇨🇳CNY🇸🇪SEK🇮🇳INR🇸🇬SGD🇭🇰HKD🇵🇭PHP

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