Data Science / AI blog article related with Natural Language Processing(NLP)
Do even the best DNN models understand language? New advances, new excitement Without any doubt, Deep Neural Networks (DNNs) have brought huge improvements to the NLP world recently. News like an AI model using DNN can write articles like a human or can write code to create a website like a real developer comes to …
Do even the best DNN models understand language? Read More »
As word embeddings become more and more ubiquitous in language applications, a key issue has likewise emerged. The ability of embeddings to learn complex, underlying relationships between words is also their greatest caveat: How do we know when we have trained a good embedding? It’s important to differentiate between a good embedding in a more general sense and …
Word Embeddings – blessing or curse in disguise? Read More »
In Data Science, before building a predictive model from a particular data set, it is important to explore and perform pre-processing data. In this blog, we will illustrate some typical steps in data pre-processing. In this particular exercise, we will build a simple Decision Tree model to classify the food cuisine from the list of …
In NLP, encoding text is the heart of understanding language. There are many implementations like Glove, Word2vec, fastText which are aware of word embedding. However, these embeddings are only useful for word-level and may not perform well in case we would like to expand to encode for sentences or in general, greater than one word. …
EXPLORING UNIVERSAL SENTENCE ENCODER MODEL (USE) Read More »
