What is a Hidden Markov Model in NLP? A time series of observations, such as a Hidden Markov Model (HMM),…
What is deep learning for natural language processing? Deep learning is a part of machine learning based on how the…
Neural machine translation (NMT) is a state-of-the-art technique for translation. Our previous article on translating text in Python covered the…
Transfer learning is explained, and the advantages and disadvantages are summed up. Types of transfer learning in NLP are summed…
What is MinHash? MinHash is a technique for estimating the similarity between two sets. It was first introduced in information…
What is SimHash? Simhash is a technique for generating a fixed-length "fingerprint" or "hash" of a variable-length input, such as…
This article discusses one of the most valuable tools when analysing textual data in natural language processing — fuzzy string…
Abstractive text summarization is a valuable tool in Python when working with large documents, or you quickly want to summarize…
This list covers the top 7 machine learning algorithms and 8 deep learning algorithms used for NLP. If you are…
This article covers reinforcement learning and its application in natural language processing (NLP). It also covered the latest developments in…