Replace your FAQ-Section with a Conversational Bot

[fa icon="calendar'] Oct 18, 2018 6:00:00 PM / by Ana Moreno posted in Chatbots

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Let’s be honest: have you ever checked the FAQs of a website when you needed assistance regarding a product? Of course, not. They seem too boring for busy people these days. Many forward-looking companies are now making use of chatbots, fed with content from their websites, to automate their customer support channels so that all usual requests can be easily solved. Why not use the content included in your existing FAQs for the same purpose?

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Bitext: The Future of NLP according to Gartner

[fa icon="calendar'] Aug 23, 2018 5:31:18 PM / by Bitext posted in NLP, Artificial Intelligence, Bitext, Natural Language, Chatbots, POS tagging, Stemming, Big Data

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Powered by a linguistic approach, the future of natural language processing will enable human-like understanding through a wide range of applications. Thanks to Bitext NLP technologies, that far future is closer than expected. Bitext solutions are fully oriented to the current needs of many forward-looking companies relying on cutting-edge techniques ranging from sentiment analysis tools to a generation of artificial training data. After years of hard work in the field of the automation of customer support, Bitext developed the most advanced API ever seen and several conversational agents for innovative enterprises as, for instance, TechCrunch.

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How to improve Amazon Lex's understanding accuracy by 50%

[fa icon="calendar'] Aug 7, 2018 6:46:32 PM / by Bitext posted in Chatbots

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Lex, the bot building platform in which Amazon has invested a great deal of money, can be drastically improved. Lex’s understanding accuracy has the potential to go from 40% to over 90% thanks to the artificial training data automatically generated by Bitext. Building a well performing bot with Lex is now possible!

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Sentiment analysis for bot conversations

[fa icon="calendar'] Jul 25, 2018 4:20:00 PM / by Leticia Martín-Fuertes posted in Chatbots, Sentiment Analysis

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Customers are using channels such as Facebook Messenger as the place where to complain when their online order is delivered late. Therefore, companies have started to trust in chatbots for handling these issues. Can you see the potential of applying sentiment analysis to chatbot conversations?

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Artificial training data: how to speed up your bot training

[fa icon="calendar'] Jul 3, 2018 2:14:19 PM / by Bitext posted in Artificial Intelligence, Chatbots

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Bots built upon machine learning need long training processes to have the ability to hold a meaningful conversation 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 generated in a slow manual way. However, speeding up your bot training can now come true with artificially generated data.

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