Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
IQUALIF CPE allows you to capture significantly more volume—up to 40% more—compared to our competitors, which translates into substantial time savings and increased efficiency for your organization. This powerful tool enables the extraction of both mass and targeted data, encompassing a range of information such as addresses, email addresses, and phone numbers. By enhancing business opportunities in both Business to Business (B2B) and Business to Customer (B2C) sectors, IQUALIF proves to be a vital asset. It is recognized as the premier contact extraction software due to its capability to search across numerous directories and websites. What sets IQUALIF apart from its competitors is the comprehensive nature of the data it collects, as it is derived from multiple sources rather than being limited to a single website or directory. Given that nearly 40% of contacts can be found in secondary directories, which are not included in traditional yellow or white pages, this significantly expands your potential contact base and improves the scope of your marketing efforts. IQUALIF is designed to cater to a variety of professionals, including call centers, communication agencies, local government offices, and any businesses in need of reliable contact information. By leveraging IQUALIF, you can effectively enhance your outreach strategies and drive better results.
Description
NetOwl TextMiner merges the acclaimed NetOwl Extractor with Elasticsearch to deliver an innovative text analytics solution. This software harnesses the full spectrum of NetOwl's functionalities, making it perfect for conducting "what if" analyses, performing discovery tasks, facilitating quick-response investigations, and carrying out thorough research. By incorporating all the text analytics features of the NetOwl Extractor—including entity extraction, relationship and event extraction, sentiment analysis, text categorization, and geotagging—TextMiner presents a comprehensive text mining platform. The results generated by the Extractor are stored within Elasticsearch, which offers a range of intelligent search and analytical capabilities. The synergy between Elasticsearch and NetOwl ensures rapid and scalable real-time text analysis suited for handling Big Data. Furthermore, the user-friendly web-based interface of TextMiner can be easily configured to accommodate various analytical needs, enabling users to swiftly access only the most valuable insights from extensive text datasets. This adaptability not only enhances usability but also allows for more tailored analysis across multiple domains.
API Access
Has API
API Access
Has API
Integrations
ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau
Integrations
ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau
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
IQUALIF
Founded
2000
Country
United States
Website
www.iqualif.com/en/
Vendor Details
Company Name
NetOwl
Founded
1996
Country
United States
Website
www.netowl.com/text-mining
Product Features
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
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