DATA THAT SPEAKS TO YOU
NO-CODE TEXT ANALYSIS
Ever wanted to train a sentiment analysis model or create a document classifier but didn't know where to start? Lexikat is a no-code model-design platform, letting even non-technical users create text analysis models capable of far out-performing existing systems.
The system is creates basic models using a crowd-sourced concept dictionary, which customers can use as a basis to create custom analysis models using an easy point-and-click interface.
You can try it out at the Lexikat.com web platform, and can also be integrated with your own systems via our APIs.
Create and customise data analysis models: no coding skills required.
Simple, attractive visualisations of all your data.
Automate your CRM tagging, customise your social media tracking, mine your text data for strategic insights.
Improve your in-house analytics systems with a set of easy-to-use text analysis APIs.
Cut the time needed to review documents from weeks to hours.
WHAT MAKES LEXIKAT DIFFERENT?
Researchers using IT to analyse text rely on topic-modelling algorithms. Currently, the main model used is one called Latent Dirichlet Analysis, or LDA. This looks at the proximity between words in the document being analysed. You can see an example using Charles Dickens' A Christmas Carol here.
It took one of our researchers a day and a half to do this, and the model is static: you can't change the results for a custom analysis.
Our software and algorithms have been used in multiple client projects to analyse text and opinion data. Here are some examples: