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Spark NLP Blog

State of the Art Natural Language Processing at Scale.

Sentence detection in Spark NLP is the process of identifying and segmenting a piece of text into individual sentences using the Spark NLP library. Sentence detection is an essential component...

Sentiment analysis, also known as opinion mining, is the process of computationally identifying and categorizing the subjective information contained in natural language text. Spark NLP’s deep learning models have achieved...

Sentence embeddings are a powerful tool in natural language processing that helps analyze and understand language. Transformers, a type of neural network architecture, are a popular method for generating these...

Rule-based sentiment analysis in Natural Language Processing (NLP) is a method of sentiment analysis that uses a set of manually-defined rules to identify and extract subjective information from text data....

Word embeddings are considered as a type of representation used in natural language processing (NLP) to capture the meaning of words in a numerical form. They are essentially a way...