Capitalize on hidden trends
Uncover what customers love about your brand and build on those opportunities.
Uncover what customers love about your brand and build on those opportunities.
Detect patterns early and stop critical issues before they happen.
Ensure that all locations meet standards with location-level sentiment scores.
The sentiment analysis and text analytics capabilities available in the Intouch Platform take unstructured data and analyze it to uncover patterns so you can trigger immediate action, address issues quickly and capitalize on successes across your locations.
All open ended responses are automatically analyzed, scored and classified as positive, negative or neutral.
Identify high frequency words or phrases with positive sentiment to comb out your company’s buzzwords.
Out-of-the-box dashboards and charts save you time and help uncover trends without extra work.
Trigger cases, checklists or notifications from keywords, like dirty or rat, to drive action before it’s too late.
Leveraging our API to sync external data, you can run sentiment analysis on ANY text-based data your company collects.
Dig into top positive and negative keywords and their usage over time to measure changes and impact of actions.
Our advanced natural language processing refines unstructured data so you can spend more time analyzing insights and trends, not manually sifting through data. Text analytics, aka sentiment analysis, uses machine learning algorithms to analyze large amounts of unstructured data, revealing patterns and trends that could otherwise have been missed.
Our pre-built sentiment dashboard comes equipped with powerful charts that highlight sentiment score, percentage changes month by month, sentiment over time, top 10 keywords, a sentiment word cloud, and top 5 positive and negative keywords. Our dashboard also gives you the ability to compare sentiment scores between locations.
Our automation hub allows you to mobilize your teams in real-time based on predefined events. With the sentiment functionality, you can use keywords as conditions that trigger an action if a specific word or string of words is detected. These quick and real-time actions allow you to remediate issues as soon as they arise.