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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 ByteScout PDF Extractor SDK?

The robust capabilities of PDF Extractor shine even in challenging environments, establishing it as an ideal solution for managing large PDF reports, organizing extensive PDF libraries, and much more. No matter how complex the layout of your PDF may be, PDF Extractor remains intuitive and can be easily incorporated into your existing systems. It has the ability to handle damaged files featuring elaborate designs and can rectify poorly formatted text that usually demands manual correction. With a rich assortment of advanced functionalities, it converts scans into searchable PDFs, facilitates the splitting and merging of PDF documents, allows for text removal, and aids in the analysis, identification, and removal of sensitive data as well as personally identifiable information (PII) from both PDF files and scanned documents. Moreover, it adeptly extracts tables and text from PDFs, generating outputs in both .XLS and .XLSX formats for smooth data handling. Not only does this versatility enhance the user experience, but it also makes PDF Extractor an essential resource for anyone tasked with efficiently managing large quantities of PDF materials. With its ability to streamline various document tasks, the tool stands out as a key asset in any professional's toolkit.

Media

Media

Integrations Supported

ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau

Integrations Supported

ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

ByteScout

Date Founded

2009

Company Location

United States

Company Website

bytescout.com/products/developer/pdfextractorsdk/index.html

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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