neighborhood_density(corpus_context, query, tierdict, algorithm='edit_distance', max_distance=1, collapse_homophones=False, force_quadratic=False, file_type=None, tier_type=None, sequence_type=None, stop_check=None, call_back=None)¶
Calculate the neighborhood density of a particular word in the corpus.
- corpus_context : CorpusContext
Context manager for a corpus
- query : Word
The word whose neighborhood density to calculate.
- algorithm : str
The algorithm used to determine distance
- max_distance : float, optional
Maximum edit distance from the queried word to consider a word a neighbor
- force_quadratic : bool
Force use of the less efficient quadratic algorithm even when finding edit distance of 1 neighborhoods
- stop_check : callable, optional
Optional function to check whether to gracefully terminate early
- call_back : callable, optional
Optional function to supply progress information during the function
- tuple(int, set)
Tuple of the number of neighbors and the set of neighbor Words.