OpenText Unstructured Data Analytics Reviews

KnowledgeHound makes it easy to organize and search all of your research data in one place. You can import data instantly from any platform using our integrations, or upload research from any third-party research provider. You can eliminate silos and help anyone get the answers and insights they need from all your customer insights data. KnowledgeHound uses natural-language search to locate relevant survey questions from your existing research. This makes it easy to gather the information that you need to make informed decisions. Search can help you find a story, a chart, or themes in a set consumer responses. KnowledgeHound's data visualization tools make it easy for anyone to look like a professional researcher. You can create professional charts and tables, perform cross tabulations, extract sentiment from open-end replies, and instantly display trends in a beautiful format that is ready for presentation.

Machine learning can provide insightful text analysis that extracts, analyses, and stores text. AutoML allows you to create high-quality custom machine learning models without writing a single line. Natural Language API allows you to apply natural language understanding (NLU). To identify and label fields in a document, such as emails and chats, use entity analysis. Next, perform sentiment analysis to understand customer opinions and find UX and product insights. Natural Language with speech to text API extracts insights form audio. Vision API provides optical character recognition (OCR), which can be used to scan scanned documents. Translation API can understand sentiments in multiple languages. You can use custom entity extraction to identify domain-specific entities in documents. Many of these entities don't appear within standard language models. This allows you to save time and money by not having to do manual analysis. You can create your own machine learning custom models that can classify, extract and detect sentiment.