Preliminaries | Setup | Installing the package | Load package | Data | Pre-processing | The building blocks of 'a la carte' embeddings | 1. Build a (tokenized) corpus of contexts | 2. Build a document-feature-matrix | 3. Build a document-embedding-matrix | 4. Average over document embeddings | 5. Comparing group embeddings | Nearest neighbors | Cosine similarity | Nearest neighbors cosine similarity ratio | Nearest contexts | Stemming | Multiple Keywords | Wrapper functions | Embedding regression | Bias correction in earlier versions of package | From regression coefficients to ALC embeddings | Local GloVe and transformation matrix | Estimate GloVe embeddings | Estimating the transformation matrix | Other | Feature embedding matrix | Embedding full (short) documents