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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 Relative Insight?

Our text analysis platform, dedicated to ensuring online child safety, unlocks valuable business insights from your existing text data. Relative Insight’s cutting-edge technology equips marketing professionals and brand strategists to maximize the benefits of their textual assets. Utilizing a comparative approach, we enable the swift creation of comprehensive audience insights at scale, enhancing your qualitative assessments with a profound level of detail and accuracy. Armed with these distinctive marketing insights, brands can refine their messaging, enhance their market positioning, and develop more effective campaigns. Our platform simplifies the interpretation and utilization of unstructured data, significantly reducing the time required for analysis. Furthermore, this approach is versatile and can be applied across various primary research formats such as interviews, focus groups, and videos, uncovering hidden data treasures that you might not have recognized. Relative Insight also facilitates direct comparisons of your brand's messaging against that of your competitors, helping you maintain a competitive edge in your industry. By delving into these insights, brands can forge stronger connections with their audiences, boost engagement, and ultimately drive better business outcomes. This holistic understanding of the market landscape empowers brands to navigate challenges and seize opportunities with confidence.

Media

Media

Integrations Supported

Neota
OpenResty
Pipedream
TiMi

Integrations Supported

Neota
OpenResty
Pipedream
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

Relative Insight

Company Location

United Kingdom

Company Website

relativeinsight.com

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

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

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