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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 Gavagai?

Our cutting-edge natural language processing technology utilizes artificial intelligence to gather, examine, and present insights from various types of customer communications. This encompasses everything from call transcripts, chat logs, emails, support inquiries, return requests, social media engagements, to surveys, all available in 47 languages. With our Explorer tool, users can swiftly evaluate open-ended text feedback within mere minutes. Furthermore, Explorer is equipped with an API that facilitates the effortless integration of unstructured text data into your business intelligence frameworks. The domain of employee experience is centered on evaluating and pinpointing the factors that enhance employee satisfaction and drive motivation. Our solutions enable organizations to effectively manage, analyze, and interpret large volumes of unstructured natural language information in significantly less time than typical methods. Designed for ease of use, the platform allows you to develop custom bots that cater to your unique business needs without requiring any programming skills. Immediate enhancements in operational efficiency can be realized just minutes after setup. In addition, the Gavagai API offers a comprehensive set of semantic analysis tools supporting 47 languages, granting users instant access to intuitive endpoints. This powerful functionality ensures that organizations can capitalize on insights drawn from their data, thereby improving their decision-making processes and fostering a more engaged workforce. Ultimately, by leveraging these advanced technologies, businesses can not only enhance customer communication but also significantly boost overall productivity and employee engagement.

Media

Media

Integrations Supported

SurveyMonkey Enterprise

Integrations Supported

SurveyMonkey Enterprise

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Pienso

Date Founded

2016

Company Location

United States

Company Website

www.pienso.com

Company Facts

Organization Name

Gavagai

Date Founded

2009

Company Location

Sweden

Company Website

www.gavagai.io

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

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

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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