7 Data Enrichment Modules

This section describes the Data Enrichment modules of Big Data Discovery.

• About the Data Enrichment modules
  The Data Enrichment modules increase the usability of your data by discovering value in its content.
• Entity extractor
  The Entity extractor module extracts the names of people, companies and places from the input text inside records in source data.
• Noun Group extractor
  This plugin extracts noun groups from the input text.
• TF.IDF Term extractor
  This module extracts key words from the input text.
• Sentiment Analysis (document level)
  The document-level Sentiment Analysis module analyzes a piece of text and determines whether the text has a positive or negative sentiment.
• Sentiment Analysis (sub-document level)
  The sub-document-level Sentiment Analysis module returns a list of sentiment-bearing phrases which fall into one of the two categories: positive or negative.
• Address GeoTagger
  The Address GeoTagger returns geographical information for a valid global address.
• IP Address GeoTagger
  The IP Address GeoTagger returns geographical information for a valid IP address.
• Reverse GeoTagger
  The Reverse GeoTagger returns geographical information for a valid geocode latitude/longitude coordinates that resolve to a metropolitan area.
• Tag Stripper
  The Tag Stripper module removes any HTML, XML and XHTML markup from the input text.
• Phonetic Hash
  The Phonetic Hash module returns a string attribute that contains the hash value of an input string.
• Language Detection
  The Language Detection module can detect the language of input text.