Sentiment Analysis for Marketing Campaigns

Machine Learning

This project improved the efficiency of marketing campaigns by automatically evaluating user feedback that comes through different channels and automating decisions on further user engagement.

The system evaluates whether the user is interested in the proposal now or might be interested in the future, whether the user is requesting additional information and whether the user wants to move forward.

Technologies

Deep Recurrent Neural Networks
Word Embeddings
Entity Recognition
StarSpace
PyTorch
Numpy
Docker
AWS
Sequence to Sequence Architecture
Reinforcement Learning
Word Lemmatization and Tokenization
Python
Flask
Continuous Learning
Kubernetes
Jenkins

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Leading Marketing Provider

Sentiment Analysis for Marketing Campaigns

Technologies

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