Tfidf Keywordextractor (v1.0)

About this version

• Submitter: selenasong
• Submission Time: 2024-07-19T14:07:21+00:00
• Prebuilt Container Image: ghcr.io/clamsproject/app-tfidf-keywordextractor:v1.0

• Release Notes

  (no notes provided by the developer)

About this app (See raw metadata.json)

extract keywords of a text document according to TF-IDF values. IDF values and all features come from related pickle files in the current directory.App can either take a simple text document or take a MMIF file generated from the text slicer app.

• App ID: http://apps.clams.ai/tfidf-keywordextractor/v1.0
• App License: Apache 2.0
• Source Repository: https://github.com/clamsproject/app-tfidf-keywordextractor (source tree of the submitted version)

Inputs

(Note: “*” as a property value means that the property is required but can be any value.)

• http://mmif.clams.ai/vocabulary/TextDocument/v1 (required) (of any properties)

Configurable Parameters

(Note: Multivalued means the parameter can have one or more values.)

• topN: optional, defaults to 10

  • Type: integer
  • Multivalued: False

  top n keywords to extract from the current textfile.

• pretty: optional, defaults to false

  • Type: boolean
  • Multivalued: False
  • Choices: false, true

  The JSON body of the HTTP response will be re-formatted with 2-space indentation

Outputs

(Note: “*” as a property value means that the property is required but can be any value.)

(Note: Not all output annotations are always generated.)

• http://mmif.clams.ai/vocabulary/TextDocument/v1
  • text = “keywords”
  • scores = “tfidf scores”

  Default property ‘text’ stores the extracted keywords (string). Added property ‘scores’ stores keywords’ TF-IDF values (float).

• http://mmif.clams.ai/vocabulary/Alignment/v1 (of any properties)