Textalytic

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.

Analyze text with viztext 2D & 3D mapping text analysis topic modeling, sentiment analysis, word cloud. A unique machine learning algorithm to visualize topics in the text you want to discover. Text analysis provides topic modelling with navigation through 2D/ 3D maps. Uses referential framework to make logical relational topic analysis with zoom-in and zoom-out features on 2D and 3D maps including colorful word cloud. Analysis on the level of sentiment in the text with pie chart on ratio between positive, negative and neutral. Graphs top entities in the text with percentage as well as highlights in the text with entity type: government, person, organization, etc. Simple drag and drop, upload text file or paste text from the web or social media posts or enter HTTP address for a website that contains text article you like to analyze.