These Deep Learning algorithms add more meaning to the text masses by detecting e.g. nouns, adjectives, objects and more syntactics.
Perfect fit for automatically tagging your text amounts when you already know the functional classification scheme.
Clustering algorithms automatically detect topics for you.
During the years we have developed ways of making machine learning results easily understandable for our customers. Most of them are interactive.
Our semantic contextualization algorithms help you keep up to date with how the context of your business is changing.
Being part of unsupervised ML, these algorithms automatically find structures within huge text amounts.
If you want to find sentences with similar meaning but written in different words – these algorithms will help you.
Detecting context of a word within huge amounts of text becomes easy with semantic algorithms. Results are often visualized with Semantic Maps.
Market segmentation and customer profiling done the digital way: Turn user generated-content into stereotypes within days. No interviews needed.
The right interactive visualization to zoom in and out of semantic similar words and explore these maps on various hierarchical levels.
Finding influencers that fit your product and brand message the data-driven way.
The right tool to explore huge text amounts both on a broad and deep level. The NIZE Online Radar relies on this dashboard.