Название: Natural Language Processing for Global and Local Business Автор: Fatih Pinarbasi, M. Nurdan Taskiran
Издательство: IGI Global
Год: 2021
Страниц: 477
Язык: английский
Формат: pdf (true)
Размер: 10.9 MB
Natural Language Processing has attracted the attention of scholars since last century. Thanks to the developments in computer technology and digitalisation of text materials, linguists have found ample resources to study on. Programming languages have recently been enriched by special NLP libraries and third-party tools have been available for the use of NLP analyses. These developments may suggest that things are much easier than they were before. On the contrary, these developments have increased the research appetite and enthused scholars to study more challenging subjects.
Today, works of James Joyce and Edgar Alan Poe are compared in terms of their lexical, colocation, colligation or adjective usage. Holy Books are compared with one another to extract similarities. Even sentiment analyses are done for each verse. As the user generated data (UGD) increase, NLP have started to do great jobs and become a part of artificial intelligence already. Machines are trained to understand or perceive what people really say taking similes, metaphors, ironies into account. Today, some machines are aware of the difference between lexical and grammatical ambiguities and they are still learning. Suffice it to say, these developments are the ones leading us to web 4.0 which is expected to be a semantic web era. Any small or big contribution to NLP takes us to semantic web times inches by inches.
This book is truly one of them. It gives practical implementations of NLP through text mining. That is done using real data corpus rather than toy data sets. Most importantly, user generated data have been used. By analysing UGD with proper text mining models, naive users' opinions have been extracted, and this is presented very well in the book. This shows that questionnaires and surveys have already
become obsolete when it comes to get user reflections.
The concept of natural language processing has become one of the preferred methods to better understand consumers, especially in recent years when digital technologies and research methods have developed exponentially. It has become apparent that when responding to international consumers through multiple platforms and speaking in the same language in which the consumers express themselves, companies are improving their standings within the public sphere.
Natural Language Processing for Global and Local Business provides research exploring the theoretical and practical phenomenon of natural language processing through different languages and platforms in terms of today's conditions. Featuring coverage on a broad range of topics such as computational linguistics, information engineering, and translation technology, this book is ideally designed for IT specialists, academics, researchers, students, and business professionals seeking current research on improving and understanding the consumer experience.
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