These intro systems might not be able to answer all your knowledge questions, but will provide grounding on what is involved in NLP and how it can be used to further the field of machine learning. The text also provides a closer look at what makes up a larger system for understanding natural language by using the powerful programming tool Python.
Allen takes the reader through installing Python and getting started with some of its popular applications. Among these are NLTK the Natural Language Toolkit , which contains libraries for retrieving data from sources such as Wikipedia or WordNet, as well as tools that can generate sentences based on concepts.
Allen uses the NLTK library to demonstrate his points about performing sentiment analysis, a process of identifying opinions expressed in a text similar to determining if a review is positive or negative. Sentiment analysis is a common problem in NLP and, as it turns out, a much simpler one than parsing sentences to interpret meaning.
Sentiment analysis could be used, for example, by companies that want to improve their customer service. Oct 12, Sara rated it it was ok.
This book can be really confusing from time to time; whether it be due to the strange use of notations or examples. That aside, the most disturbing flaw of the book is that it is structured in a bad way.
You cannot categorize the concepts and organize them for yourself. Please don't use this as a course book, and I would recommend that you do not study this unless you absolutely have to. Glory Reuben rated it it was amazing Oct 05, Yashaswini rated it did not like it Oct 19, Evgeniy Polyakov rated it it was amazing Feb 16, Michael rated it really liked it Feb 07, Holger rated it it was amazing Oct 29, Elenimi rated it it was amazing Apr 19, Ramesh rated it liked it Mar 16, Schmaehgol Joe rated it it was amazing Jul 30, Surbhi Rana rated it it was amazing Nov 17, Jinu rated it it was amazing Sep 22, Vahid Mavaji rated it really liked it Jul 13, Jan rated it liked it Dec 30, Anthony rated it it was amazing Apr 18, Bob rated it it was amazing Mar 04, Robert Arritt rated it it was amazing Feb 03, Harlanmontague rated it liked it May 01, Tom rated it it was amazing Apr 01, Jonathan rated it liked it Aug 19, Jovany Agathe rated it really liked it Jan 04, John rated it really liked it Jan 27, Steven rated it really liked it May 20, Govind Sharma rated it really liked it Sep 16, Fighter rated it it was amazing Aug 08, Towards Understanding Situated Natural Language.
Computer Science, Mathematics. View 2 excerpts, cites background. Natural language processing. Hybrid Semantic Analysis. View 1 excerpt. Spoken language understanding: a survey. A survey of research on spoken language understanding is presented.
It covers aspects of knowledge representation, automatic interpretation strategies, semantic grammars, conceptual language models, … Expand. Natural language understanding and speech recognition. Programming in Prolog. Springer Berlin Heidelberg. The Art of Prolog. IEEE Expert. The Computer Modelling of Mathematical Reasoning.
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