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Average Ratings 0 Ratings

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ease
features
design
support

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Description

SentioAI is an innovative technology solution that leverages natural language processing, machine learning, and predictive analytics to swiftly and accurately pinpoint the most pertinent documents from a vast array. By addressing the classification challenges inherent in Big Data through its unique proprietary methods, SentioAI outperforms other technologies, providing quicker and more precise results while also being cost-effective. The system ranks documents from the most to least relevant, allowing users to review and tag a small subset of the dataset. This tagged data trains SentioAI's prediction engine, which continuously enhances its accuracy with each new document added. The system intelligently assesses when the training phase is complete and subsequently applies its models to the entire dataset to produce comprehensive results. Ultimately, SentioAI not only accelerates the document retrieval process but also ensures that users receive the most reliable information efficiently.

Description

Discover the transformative capabilities of large language models as they redefine Natural Language Processing (NLP) through Spark NLP, an open-source library that empowers users with scalable LLMs. The complete codebase is accessible under the Apache 2.0 license, featuring pre-trained models and comprehensive pipelines. As the sole NLP library designed specifically for Apache Spark, it stands out as the most widely adopted solution in enterprise settings. Spark ML encompasses a variety of machine learning applications that leverage two primary components: estimators and transformers. Estimators possess a method that ensures data is secured and trained for specific applications, while transformers typically result from the fitting process, enabling modifications to the target dataset. These essential components are intricately integrated within Spark NLP, facilitating seamless functionality. Pipelines serve as a powerful mechanism that unites multiple estimators and transformers into a cohesive workflow, enabling a series of interconnected transformations throughout the machine-learning process. This integration not only enhances the efficiency of NLP tasks but also simplifies the overall development experience.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

ALBERT
APIFuzzer
Apache Spark
BERT
Conda
Databricks Data Intelligence Platform
ELMO
Facebook
Flair
Java
Maven
OpenAI
Python
R
RoBERTa
Scala
T5
TensorFlow
XLNet
spaCy

Integrations

ALBERT
APIFuzzer
Apache Spark
BERT
Conda
Databricks Data Intelligence Platform
ELMO
Facebook
Flair
Java
Maven
OpenAI
Python
R
RoBERTa
Scala
T5
TensorFlow
XLNet
spaCy

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

RINA Systems

Country

United States

Website

www.rinasystems.com/product/sentioAI.html

Vendor Details

Company Name

John Snow Labs

Country

United States

Website

sparknlp.org

Product 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

Product 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

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Alternatives

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