The Revuze platform uses text analytics to understand customer sentiment. Data sources inlcude internal and external channels, including surveys, emails, transcripts or text notes of call center sessions, reviews from online sources and all major social media outlets. The tool is language-agnostic, offering the same accuracy and automation in any language.
OdinText is a text analytics platform that uses advanced statistics and machine learning to find patterns and relationships in unstructured data. It can identify and track sentiment and emotion, including psychological attributes such as anger, fear and trust. The tool combines text analysis with accompanying structured data (satisfaction, spend etc.) to increase accuracy of sentiment classification. Reporting includes data in tables, charts, and more advanced visualisations with options for drill-down to record level and table export to excel.
Leximancer automatically analyses text from customer surveys, published articles, interview transcripts, long reports, web pages, feedback forms, tweets and other sources to identify the high level concepts, summarise key ideas and deliver actionable insights through visualisations and data exports.
Decooda is a ‘Cognitive Intelligence Machine’ for understanding the customer experience, with foundations in cognitive psychology and deep learning AI.
The platform aggregates and analyses data from customer interactions, feedback and other sources in real-time; it analyses unstructured text data to detect sentiment, emotions and cognitive states; and identifies topics to determine what impacts each customer’s experience and why.
TheySay is an emotion analysis technology for large-scale monitoring and understanding of emotions and opinions. The various products extract sensitive human signals from raw text data and can be run as standalone tools or be integrated into other workflows.