Welcome to iamsystem’s documentation!

iamsystem is a Python library for semantic annotation, a.k.a entity linking. The algorithm tries to find the keywords you are looking for in a document and it was created to do so quickly even if the dictionary size is large.

You will learn how to annotate documents with this algorithm, namely how to add keywords and how to bring matching flexibility by handling abbreviations, inflected forms (singular, plural…), typos, stopwords and discontinuous sequences of tokens.

Contents

To get started, I recommend that you read the Usage’s sections in this following order :

• Usage
  • Installation
  • Matcher
  • Tokenizer
  • Stopwords
  • Annotation
  • Fuzzy Algorithms
  • Brat
  • spaCy
• API Documentation
  • Matcher
  • Span
  • Annotation
  • Keyword and subclasses
  • Tokenization
  • Stopwords classes
  • Fuzzy algorithms
  • Brat
  • spaCy

See Also

Java implementation: https://github.com/scossin/IAMsystem/

Indices and tables

• Index

• Module Index

• Search Page