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Natural Language Processing (NLP) and Machine Learning (ML)

Natural Language Processing (NLP) and Machine Learning (ML)

Apr 17, 2019 | AI, deep learning, Lemmatization, Machine Learning, NLP, Synthetic data, text analysis

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...
Decompounding German, Korean and More: a ‘Gesamt + Kunst + Werk’

Decompounding German, Korean and More: a ‘Gesamt + Kunst + Werk’

Feb 5, 2019 | AI, Lemmatization, NLP, Synthetic data, text analysis

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...
Speed Up Your Bot Training with Artificial Data

Speed Up Your Bot Training with Artificial Data

Dec 5, 2018 | AI, Lemmatization, NLP, Synthetic data, text analysis

If you want your chatbot to recognize a specific intent, you need to provide it with a large number of sentences that express that intent. That doesn’t seem that easy, right? Now you can do it in a matter of seconds. Keep reading! One of the main problems with the...
Artificial training data: how to speed up your bot training

Artificial training data: how to speed up your bot training

Jul 2, 2018 | AI, Lemmatization, NLP, Synthetic data, text analysis

Bots built upon machine learning need long training processes to have the ability to hold a meaningful conversations with real people. Training data becomes, therefore, a diamond in the rough; all companies need such input for their bots. Until now, this data was...
Fully automated training for conversational bots

Fully automated training for conversational bots

Sep 7, 2017 | AI, Chatbots, conversational, NLP

Everything looks promising in the world of bots: big players are pushing platforms to build them (Google, Amazon, Facebook, Microsoft, IBM, Apple), large retail companies are adopting them (Starbucks, Domino’s, British Airways), press is excited about movies becoming...
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