Abstract

Natural Language Processing (NLP) empowered mobile computing is the use of NLP techniques in the context of mobile environment. Research in this field has drawn much attention given the continually increasing number of publications in the last five years. This study presents the status and development trend of the research field through an objective, systematic, and comprehensive review of relevant publications available from Web of Science. Analysis techniques including a descriptive statistics method, a geographic visualization method, a social network analysis method, a latent dirichlet allocation method, and an affinity propagation clustering method are used. We quantitatively analyze the publications in terms of statistical characteristics, geographical distribution, cooperation relationship, and topic discovery and distribution. This systematic analysis of the field illustrates the publications evolution over time and identifies current research interests and potential directions for future research. Our work can potentially assist researchers in keeping abreast of the research status. It can also help monitoring new scientific and technological development in the research field.

Highlights

  • With the development of mobile devices as well as the advances in wireless communication technologies, mobile computing is becoming a significantly important paradigm in today’s world of networked computing systems [1]

  • Natural Language Processing (NLP) is capable of providing a computer program with the ability to process and understand unstructured texts

  • The results show that the research in the NLP empowered mobile computing field exhibits an overall upward trend in fluctuation

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Summary

Introduction

With the development of mobile devices as well as the advances in wireless communication technologies, mobile computing is becoming a significantly important paradigm in today’s world of networked computing systems [1]. Based on perceived situational information in personal and ubiquitous environments, mobile computing provides services automatically. With the rapid growth in use of mobile devices, far-reaching and diverse information is being produced rapidly and distributed instantly in digitized format [2]. A large amount of valuable information existing in unstructured texts are of great need of processing, such as web pages, short messages, Twitter/WeChat messages, etc. Natural Language Processing (NLP) focuses on the interactions between computers and natural language texts. NLP is capable of providing a computer program with the ability to process and understand unstructured texts. By automatically analyzing the meaning of user content to take appropriate actions, NLP can make applications smarter in the mobile environment

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