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Natural Language Processing with Java

You're reading from   Natural Language Processing with Java Explore various approaches to organize and extract useful text from unstructured data using Java

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781784391799
Length 262 pages
Edition 1st Edition
Languages
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Authors (2):
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Richard M. Reese Richard M. Reese
Author Profile Icon Richard M. Reese
Richard M. Reese
Richard M Reese Richard M Reese
Author Profile Icon Richard M Reese
Richard M Reese
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Toc

Understanding the parts of text

There are a number of ways of categorizing parts of text. For example, we may be concerned with character-level issues such as punctuations with a possible need to ignore or expand contractions. At the word level, we may need to perform different operations such as:

  • Identifying morphemes using stemming and/or lemmatization
  • Expanding abbreviations and acronyms
  • Isolating number units

We cannot always split words with punctuations because the punctuations are sometimes considered to be part of the word, such as the word "can't". We may also be concerned with grouping multiple words to form meaningful phrases. Sentence detection can also be a factor. We do not necessarily want to group words that cross sentence boundaries.

In this chapter, we are primarily concerned with the tokenization process and a few specialized techniques such as stemming. We will not attempt to show how they are used in other NLP tasks. Those efforts are reserved for later chapters...

You have been reading a chapter from
Natural Language Processing with Java
Published in: Mar 2015
Publisher:
ISBN-13: 9781784391799
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