Natural Language Processing - A Survey
Kevin Mote

TL;DR
This survey provides an accessible overview of NLP, explaining its purpose, methods, challenges, and applications for a broad audience, highlighting recent developments and future directions.
Contribution
It offers a comprehensive, clear, and balanced summary of NLP science, targeting both lay and scientific audiences, which was lacking in existing literature.
Findings
Summarizes recent NLP literature and methods
Identifies key challenges faced by NLP researchers
Highlights current and future NLP applications
Abstract
The utility and power of Natural Language Processing (NLP) seems destined to change our technological society in profound and fundamental ways. However there are, to date, few accessible descriptions of the science of NLP that have been written for a popular audience, or even for an audience of intelligent, but uninitiated scientists. This paper aims to provide just such an overview. In short, the objective of this article is to describe the purpose, procedures and practical applications of NLP in a clear, balanced, and readable way. We will examine the most recent literature describing the methods and processes of NLP, analyze some of the challenges that researchers are faced with, and briefly survey some of the current and future applications of this science to IT research in general.
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Taxonomy
TopicsSpeech and dialogue systems · Topic Modeling · Advanced Text Analysis Techniques
