Install
Text / NLP terms
Text analytics, sentiment and language models applied to documents.
Embeddings Numeric vector representations of text, images, or other data, positioned so similar items sit close together in the vector space. Named Entity Recognition (NER) An NLP technique that locates and classifies names of people, organizations, places, and other entities within text. Net sentiment The share of positive mentions minus the share of negative mentions in a set of analyzed text, summarized as one score. Sentiment analysis Using NLP to classify text as positive, negative, or neutral, so large volumes of comments or reviews can be scored automatically. Text analytics The techniques used to extract structured information and insight from unstructured text, from keyword counts to deep NLP. Topic modeling An unsupervised machine learning technique that discovers the latent themes running through a collection of documents.