The first half of this book describes the basic NLP processing tools: tokenization, part-of-speech tagging, and morphological analysis, in addition to the main tools required for an information extraction system (named entity recognition and relation extraction) which build on these components. The second half of the book explains how Semantic Web and NLP technologies can enhance each other, for example via semantic annotation, ontology linking, and population. These chapters also discuss sentiment analysis, a key component in making sense of textual data, and the difficulties of performing NLP on social media, as well as some proposed solutions. The book finishes by investigating some applications of these tools, focusing on semantic search and visualization, modeling user behavior, and an outlook on the future.
Publisher: Morgan & Claypool Publishers
Number of pages: 194
Weight: 345 g
Dimensions: 235 x 190 x 11 mm
"Written in a very accessible and clear manner, the book is very easy to read and to be understood... this book is good reading for young students and scholars or practitioners looking to start real-life projects in the field of NLP and the semantic web." - Mariana Damova for Computing Reviews
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