Google Cloud Natural Language API
Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.
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Caplena
• Categorize Themes
• Visualize Results
• Topic-Level Sentiment Analysis
• Powered by Collaborative AI
Caplena is a customer feedback tool that uses augmented intelligence to help market researchers, CX professionals, and consultants uncover deep insights from their open-ended text.
Caplena’s story began when co-founders, Maurice and Pascal, realized that most market research firms that handle customer feedback face the same issue: Too many open ends and not enough time to accurately analyze them.
Since its inception in the Spring of 2018, Caplena has analyzed over 50 million responses, with 120 new projects added each week. Today Caplena is the text analytics tool of choice for over 100 companies in more than 15 countries, boasting customers such as Swisscom, eBay, DHL, Coop, and Joyn.
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DiscoverText
Collaborative text analytics for human and machine-learning. We provide dozens of multilingual, text mining, data science, human annotation, and machine-learning features. DiscoverText offers a range of simple to advanced cloud-based software tools empowering users to quickly and accurately evaluate large amounts of text data. Our customers sort unstructured free text common in market research, as well as associated metadata, also found in customer feedback platforms, CRMs, chats, email, large scale HR or other surveys, public comment to government agencies, Twitter, RSS feeds, and other forms of text data. Find out why we are ranked #1 for text, metadata, and social network analysis support and trusted by hundreds of academic research groups. Our machine-learning sifters are created in hours or just a few minutes using crowdsourcing. We offer an API and support technical integrations with Twitter and SurveyMonkey.
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WordStat
WordStat is a flexible and easy-to-use text analysis software – whether you need text mining tools for fast extraction of themes and trends, or careful and precise measurement with state-of-the-art quantitative content analysis tools. WordStat can be used by anyone who needs to quickly extract and analyze information from large amounts of documents. Our content analysis and text mining software can be used in many applications such as analysis of open-ended responses, business intelligence, content analysis of news coverage, fraud detection and more. WordStat‘s seamless integration with SimStat – our statistical data analysis tool – QDA Miner – our qualitative data analysis software – and Stata – the comprehensive statistical software from StataCorp, gives you unprecedented flexibility for analyzing text and relating its content to structured information, including numerical and categorical data.
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