Two concepts, one mission: to make machines understand humans. Natural Language Processing (NLP) and Machine Learning (ML) are all the rage right now as techniques that complement each other rather than as NLP vs ML In this post, we will focus on NLP and how it works...
It’s a true story that Germans love their long words. However, this fact may not be so loved for text processing procedures. The lack of NLP libraries in Python adapted to German makes it difficult to properly analyze this kind of words. Let us share with you our NLP...
Lately, we are being bombarded by news regarding hands-free speakers that users can control with their voice. All the major players in the market had launched their own over the past months, the last one Apple with its HomePod. In the beginning, it was all about...
Usually, in this blog, we write about text analysis products such as lemmatizers or parsers and how they can help to solve issues in products that need an accurate understanding of text to function. But today, we want to show you also what is behind our technology,...
Stemming and lemmatization are methods used by search engines and chatbots to analyze the meaning behind a word. Stemming uses the stem of the word, while lemmatization uses the context in which the word is being used. We’ll later go into more detailed...
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