Questions? We got you.
Data is complex but Graphext is here to make it easy. Take a look at our frequently asked questions.
You don’t have to have a technical background to use Graphext. Our product is designed to be used by everyone. We provide step by step guidance to help users create and explore their data, but we also offer an advanced “editor” so more experienced users can get more out of the product.
We use dimension reduction techniques to map out multi-variable data sets in two dimensions so users can visually identify patterns and outliers in their data.
We are a lot more than that. We pride ourselves in having cool visualizations, but in reality, we offer an end-to-end data analytics solution that covers data preparation, exploration, analytics, and reporting so we could help you in each step.
When you work with a unfamiliar data set, you may need to establish and test many hypotheses in order to find insights from your data. Working under the wrong hypothesis could bias your analysis and produce inaccurate results. Our suggestion is to explore the data with Graphext in order to first confirm your hypothesis. That way you can develop more accurate analysis and save time.
Within Graphext, we connect with a few external APIs and we are developing an increasing amount of API connections to improve data enrichment, so when you choose to enrich your data, we can retrieve additional information such as location, demographic, contact that will complement your existing data.
We cluster data based on their similarities. We use un-supervised learning so the clustering result is unbiased.
The clustering result is subject to interpretation. We aim to help users to put their data in business context so they can easily explain their finding to their audience.
Of course! In fact, our platform is built using Docker, and it is ready to be installed in laptops, local or cloud servers
Although Social Listening is one of the most popular use cases of Graphext, we offer much more! Basically we can analyze any type of data. And many customers use us to do customer profiling, retention analysis, survey analysis, product recommendation, text analysis, etc.
Is there a size limit? - This question depends on the type of dataset we are working with. The upload limit to Graphext is 4GB. With complex datasets including texts, each project can process up to 300MB of data. If you are data set is larger than that, we may be able to analyse it on case by case basis. Send us an email and we will get back to you.
In our text analysis, we are able to process all major European languages including English, German, French, Spanish, Italian. For the Spanish market we also integrated Catalan in our language processing capability.
Our pricing is seat based. Request a demo and we will get back to you.
Yes. Occasionally we offer free trials to collaborators, academia, and individuals. If you are interested, send us an email at email@example.com and we will get back to you.
Yes. We have a dedicated team of Data Scientists who provide advisory and consulting services to customers on project base.
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Is Mark Cuban a socialist, a communist, a globalist... or something else? How Trump supporters attack another billionaire
Mark Cuban is one of the wealthiest people in America, with an estimated net worth of $4.1 billion. He also has almost 8M followers on Twitter and everytime he tweets to support stimulus packages, talks about white privileges , endorse Joe Biden he literally gets thousands of mentions and replies calling him a communist, socialist, globalist... and many other ideological terms. Since it's impossible to process all these comments manually, he asked for a tool to analyze them. Some people mentioned Graphext in the replies to that tweet (thanks!). We though it would be an interesting opportunity to explore how Trump's supporters perceive some of the new (like Universal Basic Income) and old ideas (Stimulus packages) than a billionaire that could had run for president as a Republican defends after the COVID-19 crisis.
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Las 2 Españas a Palos de Golf: quiénes y cómo son los que reparten tweets a izquierda y derecha.
La semana pasada, millones de personas en España acabaron imaginando en su cabeza algo que realmente nunca pasó: a un señor rico del barrio de Salamanca destrozando mobilario urbano con un palo de golf. Analizamos con datos y Graphext cómo se originó este bulo, y sobre todo quién hay detrás a izquierda y derecha propagando estas nuevas narrativas políticas
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Las cifras de muertos en España por COVID-19 en contexto.
¿Quiénes son y dónde están los excesos de muertes en España en los últimos años por edad, sexo y Comunidades Autónomas?
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How to look good on video calls: analyzing 1K rated Skype & Zoom rooms. COVID-19 Voyeurism.
Collecting 1000 thounsand screenshots from video calls on TV to find patterns of what makes you look good or bad
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