Text Analytics - 2026 Pricing, Features, Reviews & Alternatives

Text Analytics is a cloud-based solution that analyzes written customer interactions, including emails, chats, and support tickets, to extract structured insights from unstructured text data. Designed for contact centers and customer experience teams at mid-size to enterprise organizations, it applies natural language processing to detect customer sentiment, recognize intent, classify topics, and extract keywords and phrases, all without requiring manual tagging. Machine learning models score and categorize interactions automatically, surfacing trends and root causes across large volumes of digital written contacts.

The platform integrates with omnichannel contact center workflows, allowing quality monitoring to extend beyond voice interactions to cover the full spectrum of digital communication channels. Reporting and dashboards provide visibility into text interaction quality, agent performance, and customer experience patterns at scale. Topic and category detection, combined with intent recognition, enables teams to identify recurring issues and emerging themes across customer contacts.

By automating the analysis of text-based interactions, Text Analytics reduces the manual effort associated with reviewing written communications and supports consistent quality monitoring across both voice and text channels. Organizations gain a unified view of customer sentiment and operational performance across digital touchpoints, supporting data-driven decisions in customer experience management.