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.