NLP, DEEP LEARNING AND BIG DATA
Your warrant for instant, high-quality insights
The rise of Big Data has tremendously improved the performance of NLP (Natural Language Processing) in the past years. Human language is subject to infinite variation, invention and irregularities that no collection of rules could ever cover. Our NLP faces this fuzziness – it is a balancing act between the application of universal linguistic rules and the myriad of currently available learning methods to make sense of Big Data. At Anacode, we hone this craft with linguistic expertise, technological know-how and access to large quantities of relevant language data.
NLP technology
Our AI-based, high-quality NLP rests upon detailed domain knowledge and universal linguistic principles such as semantic compositionality. Beyond the classics – categorization, concept extraction and sentiment analysis – it covers a range of advanced algorithms such as irony detection, spam filtering and emotion analysis.
Deep Learning
Anacode’s models are constantly improved using the latest developments in Deep Learning. Besides, we implement our own optimizations to neural networks and word embeddings which are tailored to the specifics of our data and business use cases.
Big Data
Large-scale clean and relevant data is the basis for analytics and insights. Anacode maintains an ever-growing historical data basis which contains billions of datapoints from the social and professional Web. Our crawling tools allow us to monitor and collect new data almost in real time.
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