In the last years, the size of available data and information collections is growing exponentially, and this makes it necessary to adapt the tools we use so we can access information more efficiently. Information retrieval methods have been developed and enhanced to...
Customers are using channels such as Facebook Messenger as a place where to complain when their online order is delivered late. Therefore, companies have started to trust chatbots for handling these issues. Can you see the potential of applying sentiment analysis to...
Everything looks promising in the world of bots: big players are pushing platforms to build them (Google, Amazon, Facebook, Microsoft, IBM, Apple), large retail companies are adopting them (Starbucks, Domino’s, British Airways), press is excited about movies becoming...
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 had launched their own over the past months, the last one Apple with its HomePod. In the beginning, it was all about...
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 business purposes or personal ones— and creating documents. How many files can we collect after one year? Now think about it...
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 Processing to overcome the current limitations users and developers of bots are facing when trying to create human-like...
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 need an accurate understanding of text to function. But today, we want to show you also what is behind our technology,...
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 companies are focusing on this fast growing market. Even though English is one of the official languages, not even 1% of...
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 on statistical and mathematical models. Linguistic approaches, which are based on knowledge of language and its...
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, while lemmatization uses the context in which the word is being used. We’ll later go into more detailed...
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