Improving Rasa’s results with artificial training data. Part I
The well-known Rasa chatbot-building platform is gaining weight day after day. But, in all platforms, chatbots are as good as their training...
6 keys to building a successful human-like chatbot
Talking, expressing ourselves through words, using speech to exchange information is something that comes natural to humans. Then why don’t we just...
Lemmatization for information retrieval
In the last years, the size of available data and information collections is growing exponentially, and this makes it necessary to adapt the tools...
Sentiment Analysis for Bot Conversations
Customers are using channels such as Facebook Messenger as a place where to complain when their online order is delivered late. Therefore, companies...
Fully automated training for conversational bots
Everything looks promising in the world of bots: big players are pushing platforms to build them (Google, Amazon, Facebook, Microsoft, IBM, Apple),...
NLP to Boost Artificial Intelligence
Lately, we are being bombarded by news regarding hands-free speakers that users can control with their voice. All the major players in the market...
Lemmatization to enhance Topic Modeling results
Have you ever wondered how much data do you store in your devices every day? We spend our days looking for information— no matter if it’s for...
How to make your chatbot more human-like
Chatbot’s potential is nothing new, and here at Bitext we have been talking about them for a while. We emphasize the importance of Natural Language...
What is behind our technology? Morphological analyzer
Usually, in this blog, we write about text analysis products such as lemmatizers or parsers and how they can help to solve issues in products that...
NLP platform for Indian languages
India has the second largest population in the world after China with a fast growing economy. It is no surprise that many software and Internet...
Machine Learning & Deep Linguistic Analysis in Text Analytics
Text analysis is becoming a pervasive task in many business areas. Machine Learning is the most common approach used in text analysis and is based...
What is the difference between stemming and lemmatization?
Stemming and lemmatization are methods used by search engines and chatbots to analyze the meaning behind a word. Stemming uses the stem of the word,...