Integritet och anonymitet står i centrum i Hello Ebbots projekt med Dynamic Code.
Som en av de ledande truckleverantörerna i världen har Jungheinrich ett brett utbud truckar.
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Säg hej till Jeanett! NetOnNets digitala medarbetare som hanterar köpresan från början till slut.
Elgot är Öresundskrafts digitala medarbetare som revolutionerar sättet energibranschen hanterar kundresan
Back in December 2020, we successfully extended a powerful Natural Language Processing (NLP) model called ”SentenceTransformers” to Swedish language. We hate to brag, but after publishing the blog post about our achievement, we received a lot of attention 😎 So we decided to continue with another exciting project using the Swedish SentenceTransformers model, in which …
Grouping similar sentences for faster intent training Läs mer »
In the last blog, Ebbot explained to you the training process which helps him correctly respond to your queries. As mentioned in the end of the blog, every time Ebbot fails to understand you, he will learn from your messages in the conversation to improve his performance. But do you know that not every sentence …
Chat messages spam classifier using machine learning Läs mer »
Based on UKPLab’s publication, we extended the English SentenceTransformers to a Swedish model using TED2020 parallel sentences dataset and achieved 95.6% accuracy.
Hi everyone, my name is Ebbot. Since I started working here at Hello Ebbot, I have received many questions about how I have the ability to interpret human language as a chatbot. There is no short answer for this question, so I wrote this blog to give you an explanation.
In this blog, the NLP team at Hello Ebbot will share all the open-source resources (including models, tools and datasets) that we found specifically serves Swedish – the language that our colleague Ebbot speaks mainly.
A sentiment analysis model with 75% average accuracy specifically trained by Hello Ebbot to classify text data in Swedish.