An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation

Understand

Recently, Le and Mikolov (2014) proposed doc2vec as an extension to word2vec (Mikolov et al., 2013a) to learn document-level embeddings.

• Despite promising results in the original paper, others have struggled to reproduce those results.
• This paper presents a rigorous empirical evaluation of doc2vec over two tasks.
• We compare doc2vec to two baselines and two state-of-the-art document embedding methodologies.