| create_queries | (experimental) Automatically infer queries from combinations of terms in a dtm |
| delete.duplicates | Delete duplicate (or similar) documents from a document term matrix |
| directed.network.plot | A wrapper for plot.igraph for visualizing directed networks. |
| docnet | Document similarity network for one news agency, and the print and online editions of two newspapers |
| document.network | Create a document similarity network |
| document.network.plot | Visualize (a subcomponent) of the document similarity network |
| documents.compare | Compare the documents in two corpora/dtms |
| filter.window | Filter edges from the document similarity network based on hour difference |
| hourdiff_range_thresholds | Inspect effects of thresholds on matches over time |
| network.aggregate | Aggregate the edges of a network by vertex attributes |
| newsflow.compare | Compare the documents in a dtm with a sliding window over time |
| only.first.match | Transform document network so that each document only matches the earliest dated matching document |
| rnewsflow_dfm | quanteda dfm for RNewsflow vignette demo |
| show.window | Show time window of document pairs |
| tcrossprod_sparse | The tcrossprod function for sparse matrices, for people that like drowning in parameters |
| term.day.dist | Calculate statistics for term occurence across days |
| term_char_sim | Find terms with similar spelling |
| term_innovation | Experimental: Convert dtm scores to a term innovation score, based on changes in term use over time |
| term_intersect | Combine terms in a dtm |
| term_union | Combine terms in a dtm |