Leximancer Reviews

Many businesses create many documents. However, it can be difficult to keep track of all of them and find similar or related information for each document, context, or phrase. Luma7 solves this problem by automatically generating links between documents, regardless of keywords, metadata, or tags. Our algorithms can find all possible relationships between documents by processing all text and understanding the underlying connections. Tracking all documents, linking across multiple sources of documentation, fully-automated link creation between multiple documents. Concept-to-concept relations. Concept-to-document relationships. Automated tagging each document with related keywords, automated processes for connecting across all the archive articles, entity recognition across all documents, support in many languages, and much more.

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.