When utilized by highly skilled data scientists to engineer a rightsized solution for a given application, sentiment analysis can be a highly effective tool in litigation.

Using call center sentiment analysis software Sentiment analysis tools use algorithms to evaluate the tone, language, and context of customer phone interactions.

Sentiment analysis defined Sentiment analysis is analytical technique that uses statistics, natural language processing, and machine learning to determine the emotional meaning of communications.

Using machine learning, Text Analytics & Sentiment Analysis automatically analyzes open-ended feedback (such as survey comments) to reveal measurable, actionable insights. These new features include: ...

Machine learning approaches to sentiment have become commonplace for interpreting intent in conversational interfaces and making mood-appropriate product recommendations, among other things.

AI and machine learning are reshaping how brands interact with their audiences and redefining campaign management, customer engagement and data-driven decision making.

Combining all available data sources, including customer sentiment analysis using supervised machine learning algorithms, it's possible to improve demand sensing and demand forecast accuracy.