Name: NetOwl
Author: NetOwl

Help Desk

Web and Video Conferencing

Customer Support

Accessibility Testing

Automation Testing

Version Control

Development

Virtual Classroom

Education

AI Document Creation

Business Intelligence (BI)

Calendar

Collaboration

IP PBX

Knowledge Management

Enterprise

Accounting

Budgeting and Forecasting

Financial Planning and Analysis (FP&A)

Financial Research

Financial Risk Management

Trust Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Job Board

Payroll

Talent Intelligence

Talent Management

Time Tracking

Workforce Analytics

Workforce Management

Human Resources

.Net Development

Cloud Storage

Container Security

Deception Technology

Embedded Database

Event Monitoring

Fraud Detection

IT Professional Services

IT Service Providers

Integration Platform as a Service (iPaaS)

Load Testing

Machine Identity Management

Network Diagnostics

Network Performance Monitoring

Office Migration and Repair

Rack Servers

Runtime Application Self-Protection

Service Desk Outsourcing

Telecom Expense Management (TEM)

User Activity Monitoring

Value Stream Management

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Community

Content Management

Digital Experience Intelligence

Email Marketing

Influencer Marketing

Market Research

Marketing Automation

Mobile Analytics

Social Media Management

Survey & Forms Building

Usability Testing

Web Analytics

Wholesale Marketplace

Marketing

Project Management

Professional Services

AI Sales Agent

Customer Relationship Management (CRM)

Sales

Application Security

Cloud Security Posture Management

Identity Threat Detection & Response Software

Security

Estate Planning

Geographic Information

Tour Operator

Vertical-Specific

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Priority Matrix

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eMeetingsOnline

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Crowdtap

Document Locator

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Frosmo

Frosmo Ltd

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Azurepath, LLC.

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Aras Corporation

NetOwl is a suite of Text Analytics and Identity Analytics products offered by the vendor NetOwl. These products utilize AI and Machine Learning technologies to analyze Big Data. NetOwl is suitable for companies of all sizes and is used by financial firms, intelligence analysts, cybersecurity organizations, government agencies, and law enforcement agencies.

## Key Features

**Entity Extraction**: NetOwl utilizes AI-based natural language processing and machine learning technologies to provide accurate and scalable entity extraction in multiple languages. It supports various types of entities, including people, organizations, places, addresses, artifacts, phone numbers, and titles.

**Relationship Extraction**: NetOwl Extractor offers semantic-based relationship extraction in addition to entity extraction. It leverages AI-based natural language processing technologies to identify relationships between entities based on linguistic features and context. NetOwl's relationship ontology includes a wide range of semantic relationships, such as affiliations, associations, family relationships, and location-related relationships.

**Event Extraction**: NetOwl Extractor enables event extraction capabilities alongside entity and relationship extraction. It identifies events and event participants within text data, providing valuable insights. NetOwl's event ontology includes over 100 types of events, facilitating detailed event extraction and analysis.

**Sentiment Analysis**: NetOwl's sentiment analysis software provides entity-based and aspect-based sentiment analysis. It captures sentiments related to different entities and specific aspects. NetOwl's sentiment analysis tool incorporates a refined sentiment ontology, enabling detailed sentiment analysis and prioritized responses.

**Geotagging**: NetOwl's Smart Geotagging accurately assigns latitude/longitude values to place names and other geocodable entities and events extracted from text. It utilizes advanced natural language processing and geospatial calculations to disambiguate place names and assign the most appropriate location based on context. NetOwl's geotagging also handles relative locations, MGRS and UTM coordinates, and integrates with leading GIS providers.

**Categorization**: NetOwl offers multiple approaches to document categorization, including machine learning-based, topic tagging-based, and semantic extraction-based categorization. It supports accurate and fast categorization in multiple languages.

**Name Matching**: NetOwl's advanced machine learning-based name matching approach effectively addresses complex fuzzy name matching challenges. It handles various variations, such as transliteration variants, nicknames, misspellings, orthographic variations, and tokenization variations. NetOwl supports multilingual and cross-lingual name matching, making it suitable for diverse languages and ethnicities.

**Identity Resolution**: NetOwl EntityMatcher provides accurate and scalable identity resolution based on similarities of entity names and other key attributes. It performs identity resolution by leveraging a proprietary search and indexing engine, supporting multilingual and cross-lingual matching for multiple entity types.

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Customer Experience Management (CX, or CXM, or alternately CEM) is an approach to guiding the customer experience with an emphasis on personalization, customer journey, feedback, knowledge, and self-teaching. CXM platforms present a centralized place to oversee and manage the customer experience through integrations with a web content management system, a CRM, and other sources of data to improve customer engagement and enhance the online user experience.

Customer Experience Management

Customer experience management

Features that allow businesses to track customer sentiment and feedback, analyze and optimize the customer journey, and personalize content and website experiences for users.

Multi-channel customer feedback collection

The ability to collect qualitative and quantitative feedback from customers across a range of inputs. These could include in-app polls and surveys, email surveys, comments made on social platforms, SMS / messaging comments, NPS score, customer contributed videos, and focus group interviews.

Product usage analytics

The ability to see how, where, and when users are using your platform (e.g. how long users spend on a page, which actions they take, etc.)

Customer experience profiles

Profiles that correspond to individual customers or accounts and display a record of interactions your brand has had with that customer.

Customer experience dashboard

A dashboard that shows an aggregated view of things like customer sentiment, churn risk, qualitative and quantitative feedback, etc.

Customer journey mapping

The ability to map out the journey your customers take by persona.

Churn risk scoring

A score or metric that predicts how likely a given customer or account is to churn. This may be more relevant for B2B companies.

AI-powered recommendations

Customer experience optimization recommendations that are driven by AI-recommendations.

Website A/B testing

The ability to A/B test your website and optimize parts of the customer experience with your product.

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

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NetOwl

Overview

What is NetOwl?