SoftGuide > Functions / Modules Designation > Information extraction

Information extraction

What is meant by Information extraction?

The term "information extraction" refers to the process of filtering and structuring specific, relevant information from unstructured or semi-structured data. The goal is to extract useful information from large volumes of data that can be used for analysis, decision-making, or further processing. Information extraction is commonly used in areas such as text analysis, data processing, and machine learning.

Typical software functions in the area of "information extraction":

  1. Text Analysis: Identification and extraction of relevant data from texts, such as keywords, entities, or topics.
  2. Named Entity Recognition (NER): Identification and classification of named entities (e.g., people, organizations, locations) within texts.
  3. Information Retrieval: Search functions that allow finding relevant information from large data sets.
  4. Data Cleaning: Removal of irrelevant or redundant information from datasets to improve data quality.
  5. Knowledge Databases: Creation and maintenance of databases that structure and make extracted information accessible.
  6. Text Mining: Analysis of texts to discover patterns and relationships and to extract useful information.

 

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The function / module Information extraction belongs to:

Knowledge

Software solutions with function or module Information extraction:

EcholoN Service Management Suite
EcholoN - holistic service management
everlean
 
 
 
 
 
 
Digitales Lean Management
Doxis
Doxis
 
 
 
 
 
 
A new era of content understanding