lingtools.ner module

class lingtools.ner.NERFeatures(tokenizer_obj=None, config_file=None)[source]

Bases: object

Recognized entities in the text, extracted using NLTK’s NER tool. The values are normalized by word count (range: 0-1).

  • organization
  • person
  • gpe
  • location
  • facility
Parameters:
  • tokenizer_obj (LocalTokenizer) – initialized tokenizer object
  • config_file (string) – Configuration file to use (optional. See Configuration).
static get_feature_names()[source]

Returns a list of feature names in the same order as the features returned by get_features().

Returns:list of feature names
Return type:list
get_features(deepstruc_doc)[source]

Returns features for one document, in the same order as returned by get_feature_names().

Parameters:deepstruc_doc (list) – The incoming document, pre-processed as a Deep structure pos-tagged document.
Returns:list of features
Return type:list
static get_group_name()[source]

Get the human-readable name of the feature set.

Returns:unique identifier of the feature set
Return type:string