Sentimental & Semantic Analysis - Stefanini
Natural Language Processing

Sentimental & Semantic Analysis

Natural Language Processing AI for CX

Business Challenges

Putting AI and machine learning (ML) together for customer success.

Sentiment and semantic analysis is a natural language processing (NLP) technique. It is used to determine if data is positive, negative or neutral.

Most often, sentimental and semantic analysis are performed on text data to monitor product and brand sentiment in customer chats, call centers, social media posts and more. When a business wants to understand where it stands and what its customers need, this analysis technique delivers results.

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