BERT

BERT

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About

Mine insights in unstructured text using NLP—no machine-learning expertise required—using text analytics, a collection of features from Cognitive Service for Language. Gain a deeper understanding of customer opinions with sentiment analysis. Identify key phrases and entities such as people, places, and organizations to understand common topics and trends. Classify medical terminology using domain-specific, pretrained models. Evaluate text in a wide range of languages. Identify important concepts in text, including key phrases and named entities such as people, events, and organizations. Examine what customers are saying about your brand and analyze sentiments around specific topics through opinion mining. Extract insights from unstructured clinical documents such as doctors' notes, electronic health records, and patient intake forms using text analytics for health.

About

BERT is a large language model and a method of pre-training language representations. Pre-training refers to how BERT is first trained on a large source of text, such as Wikipedia. You can then apply the training results to other Natural Language Processing (NLP) tasks, such as question answering and sentiment analysis. With BERT and AI Platform Training, you can train a variety of NLP models in about 30 minutes.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Businesses looking for an AI service to uncover insights like sentiment, entities, and key phrases in unstructured text

Audience

Developers interested in a powerful large language model

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 4.0 / 5
ease 4.0 / 5
features 4.0 / 5
design 3.0 / 5
support 3.0 / 5

Pros & Cons from Real Users

Pros

  • When BERT model implemented on stress detection use case, BERT as it handles context of the text was easily able to identify negation sentence like detecting "I am NOT happy" as a stressful text which was not happening in other models like logistic regression, decision tree, random forest, multinomial naive bayes, CNN, RNN, LSTM etc.

Cons

  • difficulty in finding a suitable multilingual datastet to train the model for both hind and english use cases.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/services/cognitive-services/text-analytics/

Company Information

Google
Founded: 1998
United States
cloud.google.com/ai-platform/training/docs/algorithms/bert-start

Alternatives

Alternatives

Gemini

Gemini

Google
ALBERT

ALBERT

Google
BLOOM

BLOOM

BigScience
RoBERTa

RoBERTa

Meta
Semantria

Semantria

Lexalytics

Categories

Categories

Natural Language Processing Features

Co-Reference Resolution Supported
In-Database Text Analytics Supported
Named Entity Recognition Supported
Natural Language Generation (NLG) Supported
Open Source Integrations Supported
Parsing Not Supported
Part-of-Speech Tagging Supported
Sentence Segmentation Supported
Stemming/Lemmatization Supported
Tokenization Not Supported

Integrations

AWS Marketplace Not Supported
Alpaca Not Supported
Amazon SageMaker Model Training Not Supported
Azure Marketplace Supported
Gopher Not Supported
Haystack Not Supported
PostgresML Not Supported
Spark NLP Not Supported
TAS Insight Engine Supported
Unremot Supported

Integrations

AWS Marketplace Supported
Alpaca Supported
Amazon SageMaker Model Training Supported
Azure Marketplace Not Supported
Gopher Supported
Haystack Supported
PostgresML Supported
Spark NLP Supported
TAS Insight Engine Not Supported
Unremot Not Supported
Claim Azure Text Analytics and update features and information
Claim Azure Text Analytics and update features and information
Claim BERT and update features and information
Claim BERT and update features and information