Gavagai has created the Gavagai Explorer, an AI-driven text-analytics platform that provides actionable insights from unstructured text data – easily, quickly and at a low cost – in 46 languages.
With the Explorer, our customers can understand their data and improve their business, without the help of consultants or expert data scientists. We offer instant actionable insights derived from unstructured text in virtually any language.
Tacit is a platform for emotion research and analytics that uses behavioural and feedback data captured through smartphones or laptops and other wearable devices.
Features include facial coding, speech sentiment analysis, body and hand movement analysis, object detection and measurement of biometric markers.
SentiGeek analyses customer reviews and comments using an automated cloud or on-premise platform.
The software employs proprietary NLP tools to analyse language using implicit inferencing, entity recognition and fine-grained sentiment analysis.
YouScan is a listening and intelligence platform that analyses the text and image content of posts in social media (Facebook, Twitter, Instagram, YouTube), forums, blogs, Telegram channels, review websites, marketplaces and news sites.
Powered by machine learning and deep neural networks, the technology analyses text to determine topics, sentiment and user demographics. Images are analysed for visual context (logo recognition, object and scene detection).
Dictanova has a set of semantic algorithms for analysis of voice-of-customer feedback. It is an API solution for developers to analyse product reviews, satisfaction surveys, CRM notes and other sources.
Sayroom captures spoken feedback, transcribes it automatically and analyses it for emotional content using NLP. Reports are structured in four sections: trending topics; geolocation mapping; verbatim responses aggregated and categorized; and sentiment analysis on each response.
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.