Analyzing
- Analyzing large collections of text to generate new information from them, i.e. discovering relevant information by converting the content in data
We use text mining and natural language processing (NLP) to teach machines to read texts and to understand language.
Why Basefarm?
We understand all facets of a data project and can therefore guide our clients all the way from collecting ideas through to the final data product. We possess extensive experience in the field of text mining and NLP. We do not believe there is such thing as a ready-made product. Instead, we develop customized solutions based on state-of-the-art machine learning processes. In addition, we support our clients in improving their own competences. We are independent of any technologies or products and always choose the best technology for each individual client.
Our Big Data Team possesses extensive sector-spanning experience in the field of data science and machine learning. With a mix of mathematicians, psychologists, physicists and computer scientists, the team is able to examine the various facets of a data challenge from a wide range of angles.
From idea to cable
The initial phase is followed by specific development steps and cycles that pave the way to actual applications and solutions – the Data Solution itself.
This constructive phase is characterized by practicerelevance and usability. Using conventional consultancy approaches and methods, the result might be, for example, confirmation that a data case is feasible and an indication of how it could work.
However, the whole process grinds to a halt after the prototyping or proof of concept stage.
In contrast, Data Thinking goes much further. Rather than setting prototyping as the objective, it focuses on product maturity from the outset; use and application are considered as the next step in the process chain throughout.
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Customer Expectations
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Communities & Startups
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Trends & Disruptions
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Social & Technological Change
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Business Challenges
Big data Blogg
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