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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.
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.
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.
