NetOwl is a comprehensive suite of multilingual text and entity analytics products designed to analyze and extract valuable insights from large volumes of text data. Here is an overview of what NetOwl does and its key features:
What NetOwl Does
NetOwl is engineered to process and analyze big data in the form of text from various sources, including reports, web pages, social media, emails, and more. It utilizes advanced artificial intelligence (AI) techniques such as natural language processing (NLP), machine learning (ML), and computational linguistics to extract entities, relationships, and events from unstructured data.
Key Features and Functionality
Text Analytics
- Entity Extraction: NetOwl Extractor accurately identifies and extracts entities such as people, organizations, places, and things from unstructured texts in multiple languages.
- Relationship and Event Extraction: It extracts semantic relationships and events from text data, providing a deeper understanding of the context.
- Sentiment Analysis: NetOwl performs advanced sentiment analysis, recognizing multiple and sometimes conflicting sentiments within a single document.
- Geotagging: The software assigns latitude/longitude to geographical references in text, enabling geospatial analysis.
Identity Analytics
- Name Matching and Identity Resolution: NetOwl NameMatcher and EntityMatcher offer highly accurate name matching and identity resolution. These tools use machine learning and computational linguistics to match names across different languages and cultures, and to resolve identities based on various attributes such as date of birth, place of birth, and social network information.
Multilingual Support
- NetOwl supports multiple languages, allowing for the analysis and extraction of data from diverse linguistic sources.
Integration and Scalability
- Big Data Platforms: NetOwl can be deployed on premises or in the cloud and integrates with various Big Data analytics platforms, including Apache Hadoop and LexisNexis’s High-Performance Computer Cluster (HPCC) technology.
- API Integration: The software offers API integration, enabling seamless interaction with other analytical tools such as Esri ArcGIS and Google Earth/Maps.
Advanced Capabilities
- Real-Time Processing: NetOwl provides real-time processing capabilities, ensuring timely and efficient data analysis.
- Customizable Matching Rules: Users can customize matching rules to suit specific requirements, particularly useful in applications like anti-money laundering (AML) and know-your-customer (KYC).
- Data Cleansing and Enrichment: The software includes features for data cleansing, duplicate detection, and data enrichment, ensuring high-quality data outputs.
Additional Features
- Document Classification: NetOwl can categorize documents based on their content, and it supports document clustering and topic modeling.
- Social Media Analysis: It analyzes data from social media platforms, providing insights into public sentiment and trends.
- Predictive Modeling and Anomaly Detection: The software includes capabilities for predictive modeling and anomaly detection, helping in risk management and compliance monitoring.
User and System Support
- Interactive Interface: NetOwl offers an interactive interface and role-based access control, ensuring that users have a user-friendly experience while maintaining data security.
- Customer Support: The company provides customer support during business hours and through online ticket systems.
NetOwl’s suite of products is designed to support a wide range of applications, including intelligence analysis, compliance monitoring, cyber threat monitoring, risk management, and bioinformatics, making it a versatile and powerful tool for organizations dealing with large volumes of text data.