Sentiment Metrics

Sentiment Metrics: Analyzes Text Data for Sentiment

Sentiment Metrics is a software that analyzes text data to determine the overall sentiment and emotional tone. It uses natural language processing and machine learning algorithms to detect positive, negative and neutral sentiment in documents, social media posts, surveys, and other text.

What is Sentiment Metrics?

Sentiment Metrics is a powerful sentiment analysis software that helps organizations understand how people feel about their brand, products or services. It works by ingesting textual data from sources like social media, reviews, call center logs or surveys and using natural language processing and machine learning to detect emotions and sentiment.

The software categorizes text into positive, negative or neutral sentiment. It goes beyond basic sentiment to identify specific emotions like joy, sadness, fear or disgust. This provides deeper insights than just positive or negative ratings. Sentiment Metrics also summarizes the overall sentiment and highlights pain points and opportunities.

With easy-to-understand analytics dashboards and configuration options, Sentiment Metrics enables users to track sentiment KPIs over time, analyze trends, compare sentiment across data sources and drill down to understand what people are saying. Users can customize models for domain-specific data rather than rely on off-the-shelf sentiment analysis.

By uncovering how end-users and customers feel, Sentiment Metrics empowers organizations to identify issues before they spread, double down on what’s working well and take action to improve products, marketing and support. It integrates with business intelligence and data visualization tools to share insights across the organization.

Sentiment Metrics Features

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