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Average Ratings 0 Ratings

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ease
features
design
support

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Description

SAS Text Miner allows for the extraction of insights from a variety of text documents, revealing underlying themes and concepts. This tool effectively integrates quantitative data with unstructured text, merging text mining with conventional data mining approaches. As part of the SAS® Enterprise Miner suite, it necessitates that SAS Enterprise Miner is installed on the same system. Additionally, SAS High-Performance Text Mining can operate on either a computer grid or a single machine equipped with multiple CPUs. The text algorithms employed are designed to be multi-threaded and work in-memory, significantly enhancing both responsiveness and concurrency while minimizing input/output strain. Users can access SAS Text Miner as nodes within the SAS High-Performance Data Mining framework or utilize it through the procedures PROC HPTMINE and PROC HPTMSCORE. To quickly grasp SAS technology, individuals can benefit from courses offered by analytics professionals, ensuring they gain a comprehensive understanding of the tools available. Enhancing one’s knowledge in this area can lead to greater proficiency in data analysis and mining techniques.

Description

Scraawl is an innovative suite of analytics tools aimed at helping you derive deeper insights from your datasets. Whether your focus lies in analyzing public data, multimedia content, unstructured text, or a combination of these elements, Scraawl offers robust capabilities to elevate your analytical efforts. Utilizing advanced artificial intelligence and machine learning methodologies, Scraawl delivers actionable insights that enhance your analysis process. Our dedicated team comprises developers, researchers, and data scientists who are committed to providing state-of-the-art analytics solutions. One of our flagship offerings, Scraawl SocL®, is a user-friendly, web-based tool designed for enterprise-level PAI listening and analytics. This platform effectively uncovers, examines, and visualizes online discussions and news data, equipping users with comprehensive 360-degree evaluations. With Scraawl, you can confidently navigate and interpret the complexities of data-driven insights.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Hproxy
IpnProxy

Integrations

Hproxy
IpnProxy

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

SAS Institute

Founded

1976

Country

United States

Website

support.sas.com/en/software/text-miner-support.html

Vendor Details

Company Name

Scraawl

Founded

1987

Country

United States

Website

www.scraawl.com

Product Features

Text Mining

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

Product Features

Audience Intelligence

AI / Machine Learning
Audience Segmentation
Competitive Intelligence
Content Tracking
Data Visualization
Data-Driven Insights
Filters / Search
Image Recognition
Sentiment Analysis
Social Listening
Social Media Analytics
Trend Tracking

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Social Media Analytics Tools

Campaign Analytics
Competitor Monitoring
Customizable Reports
Engagement Tracking
Influencer Tracking
Multi-Channel Data Collection

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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