Sentiment Analysis is a procedure used to determine if a chunk of text is positive, negative or neutral. In text analytics, natural language processing (NLP) and machine learning (ML) techniques are combined to assign sentiment scores to the topics, categories or...
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...
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...
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...
Increasing bot accuracy has never been so easy. How? Generating artificial training data, not manually, but using auto-generated query variations. We have benchmarked Rasa and other platforms, and their accuracy comes up to a 93% thanks to Bitext artificial training...
The well-known Rasa chatbot-building platform is gaining weight day after day. But, in all platforms, chatbots are as good as their training material. Rasa, as other chatbot platforms, still relies on manually written, selected and tagged query datasets. This is a...
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