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Jochen Leidner "I breathe books." (London > England > United Kingdom > Europe > Earth)

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Text Mining and Its Applications to Intelligence, CRM and Knowledge Management (Advances in Management Information)
Text Mining and Its Applications to Intelligence, CRM and Knowledge Management (Advances in Management Information)
by A. Zanasi
Edition: Paperback
Price: £46.00

5.0 out of 5 stars One of the few books discussing the commercial side of natural language processing, 12 Mar. 2014
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This little-known volume edited by Alessandro Zanasi, whose background includes forming the text mining company TEMIS as well as intelligence gathering consulting is one of the very few publications that talk about text mining not just from a technical side, but also about policing/intelligence, CRM and other areas.
Although the technical content is now a bit dated (7 years old, at the time of this review), the business-side insights still hold.

The book recently became available in the form of a much more affordable paperback version. I would recommend it to anyone interested in the commercial side of NLP/text analytics.

Natural Language Processing with Python
Natural Language Processing with Python
by Steven Bird
Edition: Paperback
Price: £20.39

2 of 2 people found the following review helpful
5.0 out of 5 stars Useful for the Practical Teaching of NLP/CL, 29 Sept. 2013
I'm using this book as one of several references for a lecture course in Information Extraction & Big Data I teach at the University of Zurich. Python is easy, concise, and has a lot of libraries, three criteria for making it a good choice for teaching, and the author's NLTK is the library of choice for education in computational linguistics and natural language processing. The book covers a wide range of topics at the beginner's level, and the tandem approach of book + open source software gives the students a "hands on" feeling that they cannot get from introductory textbook alternatives (e.g. Manning/Schütze or Jurafsky/Martin), which therefore supplement rather than substitute "NLP with Python" by Bird et al. Invaluable from a teaching perspective is also that the NLTK software package upon download installs standard datasets, which are useful to the student even without NLTK

The chapters on information extraction, parsing, semantics and managing linguistic data go beyond typical text mining books that only teach bag-of-word approaches and statistical sequence tagging in that logical/propositional semantics and discourse are covered from context-free grammars for parsing sentences to Discourse Representation Theory with lambda calculus for handling the composition of sentence semantics to discourse units, and dealing with the scope of quantifiers. The application of analyzing meaning is shown in a chapter on a toy database, which can be queried in natural language.

Two areas that would be nice to cover in future editions are statistical parsing and statistical machine translation.

For a future second edition, I'd also suggest the authors include an appendix "Hacking NLTK" about the internals of NLTK and how to extend it, to promote development of their tool further.

To sum, the book can be highly recommended to the student or teacher of natural language processing who would like to get practical experience rather than just study dry pseudocode.

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