🍪 Would you care for a cookie?

We use our own and third-party cookies to analyze our services according to profiling based on your browsing habits. You can learn more and set up your preferences here.

PreferencesAccept Cookies
Accept CookiesPreferences

🍪 Would you care for a cookie?

We use our own and third-party cookies to analyze our services according to profiling based on your browsing habits. You can learn more and set up your preferences here.

PreferencesAccept Cookies
Accept CookiesPreferences

Analysis Types

Articles and tutorials to help users understand the mechanics & output of Graphext wizard flows.

Help
Analysis Types

Social Media

Social media analysis involves finding information in data gathered from social channels like Twitter, Facebook, Instagram, LinkedIn, Reddit and many others. Our Social Media analysis types take the heavy lifting out of analyzing social media data. We've built context-specific algorithms for community network analysis, topic detection and finding influencers. You can also use Graphext to extract key language features like sentiment, entities and part of speech tags from social media data.

Read more >

Text

Text analysis types in Graphext are all about analyzing language of all shapes and sizes. We built our Text analysis types to give you quick and easy access to powerful NLP algorithms without having to use Python or R. Our analysis types can be used to detect the topics within text, analyze its sentiment, study keywords, extract language features and recognise named entities.

Read more >

Models

Inside Graphext's Models panel, you'll find a series of out-of-the-box data science algorithms including models to undertake clustering and prediction tasks. We built Models to let you quickly customize and deploy powerful models without having to use Python or R.

Read more >