Intelligent Sentiment Analysis Toolkit

Sentiment Analysis Sentiment Analysis:
1. taken separately as a whole;
2. relative to the specific essence in the phrase;
3. phrases in context.
The number of classes in sentiment analysis is determined when setting a business task (usually 3-5 classes). To create a product, you need to use 1 machine learning model. This machine learning model was developed by the iPavlov team in more than 60 different versions. At the same time, some models were trained by us from scratch on a computing cluster. BERT Conversational by DeepPavlov, modified to a commercial version by the iPavlov team, classifies the sentiment of texts with high scores by metrics.
Technical Architecture
Technology

Tech Platform

Digital Transformation Domain

Project Type
Service Model
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Software Requirements Specifications Overview
Business and Economic Impact
Industry
Project Status
Successfully Deployed in Industry
Digital Transformation Domain

Unit Cost
$1,000,000
Pricing Model
Economic Impact
MARKET CAPABILITY & CONSUMER GROUPS
TARGET MARKET SEGMENTS
KEY CLIENT & CUSTOMERS
PROJECTED SALES METRICS
Individuals, Corporations/Legal Entities and Government Agencies/State Executive Authorities
Social & Environmental Impact
INVESTMENT RETURN & SUSTAINABILITY
PRODUCT SUPPORT COSTS
INVESTMENT RETURN
Marketing Communications
Marketing Materials and Resources
License Tiers
Commercial Channels & Digital Marketplaces
Project Media Gallery & Video Demonstrations
Careers Anchor
Executive Roles
My Companies
Career Trek
Career Recognition
Project Biography