All Text Analytics

Text Analytics Text analytics platforms rely on Natural Language Processing (NLP) to make sense of unstructured data captured from a range of sources: verbatim comments in surveys, reviews posted in forums, posts in social media, comments transcribed in call centres etc. Key features include sentiment; categorisation or topic analysis; entity extraction (eg to identify brands); and visualisation - usually in an online dashboard. Text analytics capabilities are also built into some platforms in other categories (Social Listening, Surveys).

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    Heartbeat AI

    Customer decisions are driven by EMOTION - not reason. People express emotions using their facial expressions, body language, and tone of voice. They also describe emotions using natural language: in conversations, open-ended survey questions, interviews, social media, and customer phone calls. Heartbeat AI platform transforms text input from....

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    Textable

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    Textable is free open source software to analyze and process text visually. It enables both basic recoding and filtering as well as advanced text analytics including data mining algorithms such as clustering, classification and factor analysis.
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    Meaning Cloud

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    MeaningCloud is a text analytics platform with an Excel add-in and API for embedding in other applications.
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    Text2data

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    Text2data is an web-based text analytics platform with an optional Excel plug-in. Uses include analysing in-house documents, emails, CRM or verbatim comments; tracking customer satisfaction; nalysing sentiment in social media or survey data; validating NPS scores with the data gathered from on-line surveys. Features include sentiment, summarisation, classification, entity extraction, theme discovery and keyword analysis.
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    Canvs

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    Canvs analyses and categorizes “Emotional Reactions” in dialogue. The technology is embedded in a range of products with specific focus areas: TV (understanding audiences); Surveys (processing open-ended responses); Watch (focused on Facebook video); Campaigns (for analysing advertising and branded content campaigns); Movies (more audience insight, with predictive analytics tying emotional responses to box office sales forecasts); and Publishers (for analysing reader feedback. An API is also available for custom integrations.
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    Wordstat

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    WordStat is desktop software for content analysis and text mining. It features rapid extraction of themes and trends,  integration with SimStat for statistical data analysis and QDA Miner for qualitative data analysis. It is used for content analysis of open-ended responses from interview or focus group transcripts; business and competitor intelligence; information extraction from incident reports and customer complaints; automatic tagging and classification of documents; and taxonomy development and validation.
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    CodeIt

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    CodeIt is an automated support tool for coding any unstructured text. Designed by market research and coding professionals, the technology helps enhance coding productivity and quality using a blend of advanced artificial intelligence, machine learning and text analytics techniques. Applications include market research verbatim responses; customer reviews; voice of the customer comments; customer satisfaction comments; and customer complaints.
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    Raven’s Eye

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    Raven’s Eye is an online tool for natural language analysis and automated transcription based on Quantitative Phenomenology. It provides instantaneous automated analyses of natural language spoken in 9 different languages and written in 65 different languages.
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    ScopeAI

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    Scope AI is an NLP based analytics platform that analyses customer feedback from any channel (social, CRM, complaints, surveys, reviews); combines it with user and product data (through Segment, Mixpanel or other API feed); and identifies insights for product development or customer experience improvement.
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    ipiphany

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    ipiphany applies text analytics to unstructured Customer Experience data (from social media, call transcripts, surveys, email, chat conversations and CRM). Analysis and dashboard features include a key drivers tool to understand movements in NPS, CSAT and Customer Effort scores; a relationships tool to find patterns connecting different topics; a trends tool to know why patterns have changed over time (e.g. “Why has my NPS declined?”); and a comparison tool for contrasting two or more sub-groups (teams, competitors, segments).
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    sentisum

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    Sentisum is a text analytics platform for quantifying the customer experience using verbatim feedback. Data is aggregated from all channels (reviews, NPS surveys, emails, messaging) into one central repository; comments are then transformed into structured data, analysed and mapped against the customer journey in real time; results are available in a dashboard with daily alerts for specific users.