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What is TextRazor?

The TextRazor API is a powerful tool designed to effectively reveal the Who, What, Why, and How of your news content. With features like Entity Extraction, Disambiguation, and Linking, it also includes Keyphrase Extraction, Automatic Topic Tagging, and Classification, supporting a total of twelve languages. This API conducts a thorough examination of your text, enabling the extraction of Relations, Typed Dependencies among words, and Synonyms, which aids in the creation of sophisticated semantic applications that are aware of context. Additionally, it facilitates the rapid extraction of custom entities such as products and companies, allowing users to set specific tagging rules that fit their content needs. TextRazor presents a flexible text analysis framework that can be accessed either through cloud services or by self-hosting. Its integration of advanced natural language processing technologies with a vast knowledge base helps users quickly generate valuable insights from various types of content, including documents, tweets, or web pages. This makes it a vital resource for both content creators and analysts who seek to enhance their understanding of data. Ultimately, TextRazor’s holistic approach guarantees that users can optimize their data processing and analytical strategies to achieve superior outcomes.

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.

Media

Media

Integrations Supported

ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Neota
OpenResty
Palantir Apollo
Pipedream
SolrCommerce
Tableau
TiMi

Integrations Supported

ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Neota
OpenResty
Palantir Apollo
Pipedream
SolrCommerce
Tableau
TiMi

API Availability

Has API

API Availability

Has API

Pricing Information

$200 per month
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

TextRazor

Date Founded

2011

Company Location

United Kingdom

Company Website

www.textrazor.com

Company Facts

Organization Name

NetOwl

Date Founded

1996

Company Location

United States

Company Website

www.netowl.com/text-mining

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

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

Text Mining

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

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