Smartcoder provides automatic analysis of answers to open-ended survey questions. The tool performs topic analytics and automatically generates a list of categories (codes) and assigns appropriate codes to answers. The self-service platform involves 4 steps: uploading survey responses; automatic analysis; manual refinement; and download of results.
Wonderflow applies text analytics to customer experience feedback data. Sentiment analysis tools determine what customers like or dislike; a proprietary “Relevance” algorithm reveals what drives customers to buy products; and trends tools monitor price and rating fluctuations.
Cx Moments detects trends and topics in feedback surveys, support activity, bug reports, product mentions and other sources. Integrations are available for VoC tools including Medallia, Confirmit and Qualtrics; as well as Zendesk, Freshdesk, Salesforce, LivePerson, Freshservice and other customer support tools.
Opinyin is a free-text survey app with built-in Natural Language Understanding AI to extract insight from open-ended data. The platform includes a survey tool (via web, app or email), with traditional NPS scoring; linguistic analysis of verbatim feedback comprising key topic / associated topics detection and sentiment analysis.
Chattermill uses machine learning to analyse customer feedback from tracking studies, reviews and support tickets. Through integrations with CRM tools, survey platforms and marketing automation systems, algorithms process customer feedback in real time and results are available instantly in online dashboards.
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.
Smartmunk is a text analytics tool for quantifying consumer generated content. It extracts topics in any language from sources including customer service feedback, online forums and customer satisfaction surveys.
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.
Karna.ai provides AI and machine learning tools for automating human intensive tasks in market research.
Applications include auto-coding of attributes from images; demographic analysis to classify nationality, gender and age based on names and images; automatic processing of survey responses using NLP.