Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
An all-encompassing domain data source provides access to website logos, company information, categorization, and additional features derived from a URL or email. Our website categorization API boasts high accuracy, allowing a straightforward search of a business to classify its sector among 385 distinct topic categories. This classification framework adheres to the IAB V2 standard and can be utilized for personalized marketing, audience segmentation, online filtering, and various other applications. With three primary category structures available, users can choose between the IAB taxonomy's detailed categorization or opt for a simpler framework that suits their needs. Our advanced API leverages a machine learning engine to analyze a website's content and metadata, extracting relevant text to classify the site effectively while assigning up to three categories, all enhanced through natural language processing techniques. This versatility ensures that businesses can tailor their digital strategies more effectively by leveraging precise categorization capabilities.
Description
Komprehend AI offers an extensive range of document classification and NLP APIs designed specifically for software developers. Our advanced NLP models leverage a vast dataset of over a billion documents, achieving top-notch accuracy in various common NLP applications, including sentiment analysis and emotion detection. Explore our free demo today to experience the effectiveness of our Text Analysis API firsthand. It consistently delivers high accuracy in real-world scenarios, extracting valuable insights from open-ended text data. Compatible with a wide range of industries, from finance to healthcare, it also supports private cloud implementations using Docker containers or on-premise deployments, ensuring your data remains secure. By adhering to GDPR compliance guidelines meticulously, we prioritize the protection of your information. Gain insights into the social sentiment surrounding your brand, product, or service by actively monitoring online discussions. Sentiment analysis involves the contextual examination of text to identify and extract subjective insights from the material, thereby enhancing your understanding of audience perceptions. Additionally, our tools allow for seamless integration into existing workflows, making it easier for developers to harness the power of NLP.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Unremot
Yes
Datamorf
Yes
Docker
No
Fleece AI
Yes
Quickwork
No
Integrations
Unremot
Yes
Datamorf
No
Docker
Yes
Fleece AI
No
Quickwork
Yes
Pricing Details
$89 per month
Free Trial
No
Free Version
Yes
Pricing Details
$79 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
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Klazify
Founded
2016
Country
United Kingdom
Website
www.klazify.com
Vendor Details
Company Name
Komprehend
Country
India
Website
komprehend.io
Product Features
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
Product Features
Emotion Recognition
Facial Emotions
No
Facial Expression Analysis
No
Machine Learning
No
Photo Emotions
No
Speech Emotions
No
Video Emotions
No
Written Text Emotions
No
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
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