Tokenization is a process in natural language processing (NLP) where a piece of text is split into smaller units called…
What is Named Entity Recognition (NER)? Named entity recognition (NER) is a part of natural language processing (NLP) that involves…
Text summarization is so prominent in natural language processing (NLP) that it made our top ten list of NLP techniques…
Word embedding is used in natural language processing (NLP) to describe how words are represented for text analysis. Typically, this…
What is the curse of dimensionality? When dealing with high-dimensional data, several issues are known as the "Curse of Dimensionality."…
Tf-idf is a way to measure the importance of a word. It is one of the ten most commonly used…
Natural language processing is a subfield of machine learning and information retrieval that focuses on processing textual data. There are…
Artificial intelligence agents, known as self-learning systems, have the capacity to continuously learn new information without the aid of hard…
Unsupervised learning is a type of machine learning where the user doesn't have to watch over the model but rather…
Supervised learning is a machine learning approach that is used for problems where the data is in the form of…