Metodebevisregistrering

Doc2Vec

Doc2Vec, also known as Paragraph Vector, is a representation-learning method introduced by Le and Mikolov (2014) that maps whole documents to fixed-length dense vectors. These vectors place similar documents close together in space, supporting document comparison and classification.

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Doc2Vec Document Embeddings (Paragraph Vector)

Taksonomisk metoderegistrering · process-pipeline / text-mining

Le, Q. V. & Mikolov, T. (2014). Distributed Representations of Sentences and Documents. Proceedings of the 31st International Conference on Machine Learning (ICML), 1188-1196. · URL

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