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.
Updating models
You can update three of the models used by Data Enrichment modules.