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What is Pienso?
Creating a topic model from scratch demands advanced programming expertise, which can be both costly and may overshadow the critical comprehension of the underlying data. This technical knowledge often detracts from the fundamental insights that data can provide. The manual process of labeling training data is not only painstaking and labor-intensive but also incurs significant costs. While outsourcing this labeling task to lower-wage workers may speed up the process and lower expenses, it frequently compromises the quality and detail of the results. Each of these approaches leads to a static classification system that can be difficult to modify over time. It is essential to move beyond simple tagging and empower subject matter experts to actively engage with their data to facilitate modeling and analysis. With an abundance of text data available, rich with insights waiting to be uncovered, the necessity for robust tools becomes increasingly evident. Pienso offers a solution to this problem by allowing you to train models using your own data, acknowledging that this personalized method produces the most effective outcomes. Regardless of the nature of your data, whether it is unstructured, semi-structured, lengthy, or concise, Pienso is designed to help you convert it into actionable insights that can inform strategic decision-making. By utilizing Pienso, you have the opportunity to fully harness the capabilities of your data while avoiding the conventional challenges commonly associated with topic modeling. This innovative approach not only simplifies the process but also enhances the overall quality of insights derived from your data.
What is Klazify?
A comprehensive domain data source offers insights into website logos, company details, categorization, and other functionalities based on a URL or email. Our categorization API is designed with precision, enabling users to easily identify a business's sector from a choice of 385 specific topic categories. This classification system complies with the IAB V2 standard and is ideal for applications such as personalized marketing, audience segmentation, and online filtering, among others. Users benefit from three main category structures, allowing them to select either the intricate IAB taxonomy or a simpler version that aligns with their requirements. Our sophisticated API utilizes a machine learning engine to thoroughly analyze a website's content and metadata, effectively extracting pertinent text to accurately classify the site while designating up to three categories, enhanced by natural language processing techniques. This adaptability empowers businesses to refine their digital marketing strategies with greater precision, ensuring that they can meet their unique needs more effectively. Ultimately, the ability to choose the right categorization structure enables organizations to engage their target audiences more strategically.
Integrations Supported
DataMorf
Unremot
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$89 per month
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
Pienso
Date Founded
2016
Company Location
United States
Company Website
www.pienso.com
Company Facts
Organization Name
Klazify
Date Founded
2016
Company Location
United Kingdom
Company Website
www.klazify.com
Categories and Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
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