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What is NetOwl TextMiner?

NetOwl TextMiner combines the renowned NetOwl Extractor with Elasticsearch to provide a cutting-edge text analytics platform. This software leverages the comprehensive capabilities of NetOwl, making it ideal for executing "what if" scenarios, engaging in discovery processes, supporting rapid investigations, and conducting in-depth research. By integrating all the text analytics tools from the NetOwl Extractor—such as entity extraction, relationship and event extraction, sentiment analysis, text categorization, and geotagging—TextMiner offers a robust text mining solution. The outcomes produced by the Extractor are efficiently stored within Elasticsearch, which enhances the system with a variety of intelligent search and analytical functions. The collaboration between Elasticsearch and NetOwl guarantees swift and scalable real-time text analysis, making it suitable for managing Big Data projects. Additionally, TextMiner features a user-friendly web interface that can be easily customized to meet diverse analytical requirements, allowing users to quickly extract the most pertinent insights from large text collections. This flexibility not only improves user experience but also facilitates more specialized analyses across different fields, catering to the unique needs of various industries.

What is Data Miner?

Data Miner is recognized as a top-tier web scraping tool specifically designed for dedicated data mining experts. This extension works seamlessly with both Google Chrome and Edge, allowing users to effectively navigate web pages and extract valuable data into formats such as CSV or Excel files. With its intuitive interface, Data Miner streamlines the complex tasks of advanced data extraction and web crawling. Users can quickly take advantage of a rich library of over 60,000 data extraction rules included in the tool, or they can create custom rules to focus on specific information from web pages. Whether the task involves scraping a single page or an entire website, Data Miner is capable of retrieving a variety of data types, including search results, product information, prices, contact details, email addresses, and phone numbers. After the scraping is finished, the collected data is easily converted into a neatly organized CSV or Microsoft Excel file for straightforward downloading and use. Furthermore, Data Miner features a strong set of tools that enable users to pull any visible text from the webpage they are observing, significantly enhancing the flexibility and functionality of the tool. This makes it an invaluable resource for anyone seeking to perform comprehensive data extraction efficiently.

Media

Media

Integrations Supported

ArcGIS
Elasticsearch
Google Chrome
Google Maps
Google Sheets
IBM Cloud
JavaScript
Kibana
MarkLogic
Microsoft Edge
Microsoft Excel
Palantir Apollo
SolrCommerce
Tableau

Integrations Supported

ArcGIS
Elasticsearch
Google Chrome
Google Maps
Google Sheets
IBM Cloud
JavaScript
Kibana
MarkLogic
Microsoft Edge
Microsoft Excel
Palantir Apollo
SolrCommerce
Tableau

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$19.99 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NetOwl

Date Founded

1996

Company Location

United States

Company Website

www.netowl.com/text-mining

Company Facts

Organization Name

Data Miner

Company Location

United States

Company Website

dataminer.io

Categories and Features

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Categories and Features

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