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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Take charge of your analytics with the premier Machine Learning-as-a-Service platform designed for unstructured social media and voice-of-customer text analysis. Our skilled professionals are equipped to assist you in creating sophisticated, tailored social models that effectively leverage, deploy, generalize, and utilize your data. Ensure that your social listening efforts align with top-tier AI strategies that promote transparency, accuracy, and fairness. Whether you're new to social listening or looking to enhance the effectiveness of your existing solutions, our highly experienced team is here to support you on your journey. You possess the data, and now it's time to uncover vital insights. We offer a diverse array of leading programmatic insight solutions powered by our advanced AI classifiers. Select from an extensive library of prebuilt machine learning models tailored to various industries for swift deployment. It's crucial to confirm that your models are not inadvertently biased or inaccurate. Gain a comprehensive understanding of each model's performance before putting them into action, ensuring your analytics are both reliable and effective. Our commitment is to empower you in making informed decisions that drive meaningful results.

Description

The TextRazor API provides an efficient and precise means of uncovering the Who, What, Why, and How within your news articles. It features capabilities such as Entity Extraction, Disambiguation, and Linking, alongside Keyphrase Extraction, Automatic Topic Tagging, and Classification, supporting twelve different languages. This tool performs an in-depth analysis of your content, allowing for the extraction of Relations, Typed Dependencies between terms, and Synonyms, which empowers the development of advanced semantic applications that are context-aware. Furthermore, it enables the swift extraction of custom entities like products and companies, allowing users to create specific rules for tagging their content with personalized categories. TextRazor comprises a versatile text analysis infrastructure that can be utilized either via the cloud or through self-hosting. By integrating cutting-edge natural language processing techniques with an extensive repository of factual information, TextRazor aids in quickly deriving valuable insights from your documents, tweets, or web pages, making it an indispensable tool for content creators and analysts alike. This comprehensive approach ensures that users can maximize the effectiveness of their data processing and analysis efforts.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Brandwatch Yes 
Fleece AI No 
Neota No 
OpenResty No 
Pipedream No 
TIMi No 

Integrations

Brandwatch No 
Fleece AI Yes 
Neota Yes 
OpenResty Yes 
Pipedream Yes 
TIMi Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$200 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Converseon

Founded

2001

Country

United States

Website

converseon.com

Vendor Details

Company Name

TextRazor

Founded

2011

Country

United Kingdom

Website

www.textrazor.com

Product Features

Text Mining

Boolean Queries No 
Document Filtering No 
Graphical Data Presentation No 
Language Detection No 
Predictive Modeling No 
Sentiment Analysis Yes 
Summarization No 
Tagging No 
Taxonomy Classification No 
Text Analysis Yes 
Topic Clustering No 

Product Features

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

Qualitative Data Analysis

Annotations No 
Collaboration No 
Data Visualization No 
Media Analytics No 
Mixed Methods Research No 
Multi-Language No 
Qualitative Comparative Analysis No 
Quantitative Content Analysis No 
Sentiment Analysis No 
Statistical Analysis No 
Text Analytics No 
User Research Analysis No 

Text Mining

Boolean Queries No 
Document Filtering No 
Graphical Data Presentation No 
Language Detection No 
Predictive Modeling No 
Sentiment Analysis No 
Summarization No 
Tagging No 
Taxonomy Classification No 
Text Analysis No 
Topic Clustering No 

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