What is the difference between stemming and lemmatization?

[fa icon="calendar'] Apr 5, 2021 4:35:03 PM / by Bitext posted in Machine Learning, NLP, Bitext, Natural Language, Text Analytics, Artificial Intelligence, Deep Learning, Chatbots, Stemming, AI, Multilanguage, Lemmatization, NLP for Core, NLP for Chatbots, Conversational AI

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When we are running a search, we want to find relevant results not only for the exact expression we typed on the search bar, but also for the other possible forms of the words we used. For example, it’s very likely we will want to see results containing the form “skirt” if we have typed “skirts” in the search bar.

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Natural Language Understanding (NLU) for Audio Requires a Highly Accurate and Fast Speech to Text Foundation

[fa icon="calendar'] Mar 31, 2021 6:44:06 PM / by Bitext and Deepgram posted in NLP, Artificial Intelligence, Chatbots, NLU, AI, Multilanguage, NLP for Chatbots, IVR, voicebots, improvement of NLU models, ASR, Deepogram

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As companies consider adding voicebots to their customer service, they are experiencing the same "Achilles’ heel" with NLU voicebots as they do with chatbots.These issues are the following (the fourth one only applies to voicebots):

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NLU Chatbot Evaluation- 3 Common Errors and 5 Key Steps

[fa icon="calendar'] Feb 18, 2021 10:40:13 PM / by Bitext posted in Natural Language, Artificial Intelligence, Chatbots, NLU, RASA, AI, NLP for Chatbots, aws

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Why is Bitext's Text Generation Unique?

[fa icon="calendar'] Nov 16, 2020 7:15:12 PM / by Bitext posted in Machine Learning, NLP, Bitext, Natural Language, Artificial Intelligence, Deep Learning, Chatbots, NLG, Multilanguage

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NLU vs. ITR Chatbots... Which one should I use?

[fa icon="calendar'] Oct 15, 2020 5:03:33 PM / by Bitext posted in Machine Learning, NLP, Natural Language, Artificial Intelligence, Chatbots, NLU, AI, NLP for Chatbots

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From the eCommerce problem to the chatbot solution: Part II

[fa icon="calendar'] Jan 30, 2020 4:44:17 PM / by Bitext posted in Machine Learning, NLP, Big Data, Bitext, Natural Language, Text Analytics, Artificial Intelligence, Deep Learning, Chatbots, NLG, NLU, AI, Multilanguage, NLP for Chatbots, Finance, Banking, "Multilingual synthetic data"

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A chatbot offers significant advantages: it allows your customer support to be omnichannel —i.e. customers will be able to approach you via written chat, voice chat, email, phone, etc.—; it will save you the costs of hiring many additional employees, while sparing you the need of training agents every time your product changes; your customers’ satisfaction will increase; finally, you will get more and more sales (because well-taken-care-of visitors tend to become loyal and regular customers).

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