When MAXset did its debut many people saw its uniqueness and value, though only few understood its potential. This is understandable, considering that its approach in text analytics is quite different to anything else that is out there. Also, it claims really high throughput, particularly on large corpora of text, something particularly useful for enterprises and other organizations that have lots of text data in their pipelines. Moreover, data processed by MAXset tends to be more comprehensive, so it doesn’t need some fancy data product in order to be of use to the end-user (though it lends itself for data science work too).
All this may sound nice, but does it really deliver on its promises? Here is a short video that demonstrates the core of its MVP, the transformation of a corpus into a delimited file that can be opened with any spreadsheet application. Feel free to check out the corresponding video.
What I find impressive in all this is that this MVP was developed under very adverse circumstances, with a shoestring budget, minimal computing resources, and within about 6 months. It is really amazing what can be accomplished if a team is motivated by leadership and a belief in the end-result, rather than bureaucracy and a benefits package. Also, it’s companies like this that make data science truly useful, as the end-user is not some expert in data analytics, but anyone interested in getting to the gist of the data at hand, be it a program manager, a business analyst, or a client.
MAXset is still in the beginning of its cycle. As more people become aware of it and the benefits it can offer them, it is only a matter of time before it becomes a more recognized brand in the text analytics sector. Coupled with that, its integration of additional A.I. techniques in its products is bound to make it even more relevant in today’s data-driven world. For more information, feel free to contact MAXset directly at firstname.lastname@example.org.
Zacharias Voulgaris, PhD
Passionate data scientist with a foxy flair when it comes to technology, technique, and tests.