Natural Language Processing Empowered Mobile Computing
Wireless Communications and Mobile Computing
With the rapid growth of mobile device usage, more and more mobile contents offer a great opportunity for mining useful information. However, these contents mostly exist in free-text format in web pages, news feeds, SMS, and Twitter/WeChat messages, posing a significant challenge for information extraction. Natural language processing (NLP) is an important field of computer science, artificial intelligence, and computational linguistics. It is concerned with the interactions between computers
... d human (natural) language. NLP aims to enable a computer program to process and understand unstructured texts. In the mobile environment, NLP can make apps smarter by automatically analyzing the content, understanding its semantics, and taking appropriate actions on behalf of their users. e state-of-the-art NLP techniques have proven to be useful in dealing with the information overload problem in the mobile environment, e.g., news aggregation and summarization, question answering, information extraction and retrieval, semantic understanding, and personalization. Applying NLP techniques to the content on mobile devices has recently gained attention in both academia and industry. Efforts have been made to develop various NLP applications for mobile platforms, such as Siri, which can retrieve information about places or events, and Google Now, which can extract context-sensitive information. However, it still lacks deep text processing capabilities, such as abstraction, summarization, and semantic understanding to accomplish complex and information-intensive tasks. Beyond the common applications, in the fast growing areas, such as healthcare, critical electronic health record data are accessible almost anywhere and near instantly even in ICU. Patient notes can be retrieved with a few taps on a screen. Sophisticated NLP techniques are required for analyzing the huge volume of data timely for making critical decisions. In this special issue, articles regarding the use of technologies, methodologies, and applications for natural language processing and mobile computing were submitted and peerreviewed. e special issue shows a diversity of new developments in these areas. We accepted high-quality original research articles and review article. e paper "A Bibliometric Review of Natural Language Processing Empowered Mobile Computing" introduced a systematical investigation and analysis on the scholarly publications on the topic of natural language processing empowered mobile computing in the last ten years. e authors applied a number of analytical techniques including descriptive statistics, geographic visualization, social network analysis, Latent Dirichlet Allocation, and affinity propagation clustering, to discover the status of research efforts and the trend of the topic. e paper can potentially help researchers understand research hot spots, collaboration patterns, and scholarly resource distribution as well as trace new scientific development in the field.