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What is Lexalytics?

Enhance your product, platform, or application by integrating our cutting-edge text analytics APIs, which provide top-tier natural language processing capabilities. With an extensive array of NLP features developed over nearly two decades, our technology is consistently improved with the latest libraries, configurations, and models. You can evaluate a piece of writing for its sentiment—whether it is positive, negative, or neutral—and organize documents into customized categories. Moreover, our system adeptly discerns the intentions of customers and reviewers while extracting vital details like individuals, locations, dates, companies, products, job roles, and titles. You can easily implement our text analytics and NLP solutions across various infrastructures, including on-premise, private cloud, hybrid cloud, and public cloud setups. Our foundational software libraries for text analytics and natural language processing are readily available to meet your needs. This offering is particularly beneficial for data scientists and architects seeking unfettered access to core technology or requiring on-premise deployment to adhere to security and privacy regulations. By leveraging our innovative solutions, you are positioned to fully capitalize on the rich insights that language data can provide, ultimately driving better decision-making and enhancing user experiences. The versatility of our APIs ensures that they can adapt to the specific requirements of different industries and use cases.

What is Komprehend?

Komprehend AI provides a comprehensive suite of document classification and natural language processing (NLP) APIs tailored for software developers. Utilizing sophisticated NLP models trained on an extensive collection of over a billion documents, we achieve exceptional accuracy across a wide array of common NLP tasks, such as sentiment analysis and emotion detection. You can try our free demo today to see how our Text Analysis API performs in practice, consistently offering high precision when extracting meaningful insights from unstructured text data. Suitable for diverse sectors, including finance and healthcare, our solutions also facilitate private cloud setups through Docker containers or can be deployed on-premise, ensuring your data's confidentiality. We strictly adhere to GDPR compliance standards, emphasizing the safeguarding of your sensitive information. By monitoring online conversations, you can gain a deeper understanding of the social sentiment related to your brand, product, or service. Sentiment analysis involves a detailed contextual review of text to uncover and extract subjective insights, thereby enriching your comprehension of audience opinions. Furthermore, our tools are designed for easy integration into current workflows, simplifying the process for developers to leverage the capabilities of NLP. With these advanced features, Komprehend AI empowers businesses to make data-driven decisions by providing clarity on public sentiment.

Media

Media

Integrations Supported

.NET
C#
CisionOne
DataSift
Hootsuite
Microsoft 365
PubNub
Python
Salience
Semantria

Integrations Supported

Docker
Quickwork
Unremot

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$79 per month
Free Version

Supported Platforms

SaaS
Windows
On-Prem
Linux

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Lexalytics

Company Location

United States

Company Website

www.lexalytics.com

Company Facts

Organization Name

Komprehend

Company Location

India

Company Website

komprehend.io

Categories and Features

Categories and Features

Popular Alternatives

Popular Alternatives

Salience Reviews & Ratings

Salience

Lexalytics
Semantria Reviews & Ratings

Semantria

Lexalytics