In the last years, a lot of researchers have invested time and resources into a new approach to Natural Language Processing: forget linguistic algorithms, let’s turn the words into mathematical vectors and plot them in a 3D space. Then, applying linear algebra, it allows us to perform specific tasks, such topic detection, sentiment analysis, etc. without even using a single code of pure linguistic algorithms. To nice to be true? Let’s discover the magic word of vectors using a very simple example.
In the past years, I spent most of my time exploring Natural Language Processing. In particular, I’m extremely interested to try to solve specific problems related to Customer Experience Management feedback analysis such: Continue reading “Natural Language Processing: the 5 kings”
If you put a status update on Facebook about purchasing a smartphone – don’t be surprised if Facebook serves you a smartphone ad on your screen. This is not black magic, this is Facebook leveraging the text data to serve you relevant ads. Continue reading “What is the main difference between word2vec and FastText?”
Why keywords search cannot be considered Text Mining