Post Processing#

This module provides a simple, unified, way to apply automatic transformations (e.g. formatting) to the results of an analysis.

gismo.post_processing.post_documents_cluster_json(gismo, cluster)[source]#

Convert cluster of documents into basic json

Parameters:

  • gismo (Gismo) – Gismo instance

  • cluster (Cluster) – Cluster of documents

Returns:

dictionary with keys ‘document’, ‘focus’, and recursive ‘children’

Return type:

dict

gismo.post_processing.post_documents_cluster_print(gismo, cluster, post_item=None, depth='')[source]#

Print an ASCII view of a document cluster with metrics (focus, relevance, similarity)

Parameters:

  • gismo (Gismo) – Gismo instance

  • cluster (Cluster) – Cluster of documents

  • post_item (function, optional) – Post-processing function for individual documents

  • depth (str, optional) – Current depth string used in recursion

gismo.post_processing.post_documents_item_content(gismo, i, max_size=None)[source]#

Document indice to document content.

Assumes that document has a ‘content’ key.

Parameters:

  • gismo (Gismo) – Gismo instance

  • i (int) – document indice

  • max_size (int, optional) – Maximum number of chars to return

Returns:

Content of document i from corpus

Return type:

str

gismo.post_processing.post_documents_item_raw(gismo, i)[source]#

Document indice to document entry

Parameters:

  • gismo (Gismo) – Gismo instance

  • i (int) – document indice

Returns:

Document i from corpus

Return type:

object

gismo.post_processing.post_features_cluster_json(gismo, cluster)[source]#

Convert feature cluster into basic json

Parameters:

  • gismo (Gismo) – Gismo instance

  • cluster (Cluster) – Cluster of features

Returns:

dictionary with keys ‘feature’, ‘focus’, and recursive ‘children’

Return type:

dict

gismo.post_processing.post_features_cluster_print(gismo, cluster, post_item=None, depth='')[source]#

Print an ASCII view of a feature cluster with metrics (focus, relevance, similarity)

Parameters:

  • gismo (Gismo) – Gismo instance

  • cluster (Cluster) – Cluster of features

  • post_item (function, optional) – Post-processing function for individual features

  • depth (str, optional) – Current depth string used in recursion

gismo.post_processing.post_features_item_raw(gismo, i)[source]#

Feature indice to feature name

Parameters:

  • gismo (Gismo) – Gismo instance

  • i (int) – feature indice

Returns:

Feature i from embedding

Return type:

str

gismo.post_processing.post_landmarks_cluster_json(landmark, cluster)[source]#

Default post processor for a cluster of landmarks.

Parameters:

  • landmark (Landmarks) – A Landmarks instance

  • cluster (Cluster) – Cluster of the landmarks to process.

Returns:

A dict with the head landmark, cluster focus, and list of children.

Return type:

dict

gismo.post_processing.post_landmarks_cluster_print(landmark, cluster, post_item=None, depth='')[source]#

ASCII display post processor for a cluster of landmarks.

Parameters:

  • landmark (Landmarks) – A Landmarks instance

  • cluster (Cluster) – Cluster of the landmarks to process.

  • post_item (function, optional) – Post-processing function for individual landmarks

  • depth (str, optional) – Current depth string used in recursion

gismo.post_processing.post_landmarks_item_raw(landmark, i)[source]#

Default post processor for individual landmarks.

Parameters:

  • landmark (Landmarks) – A Landmarks instance

  • i (int) – Indice of the landmark to process.

Returns:

The landmark of indice i.

Return type:

object