Wireless Communications and Mobile Computing

Natural Language Processing Empowered Mobile Computing


Status
Published

Lead Editor

1Guangdong University of Foreign Studies, Guangzhou, China

2University of New South Wales, Sydney, Australia

3Florida State University, Tallahassee, USA

4The Education University of Hong Kong, New Territories, Hong Kong

5Douglas College, New Westminster, Canada

6Caritas Institute of Higher Education, Tseung Kwan O, Hong Kong


Natural Language Processing Empowered Mobile Computing

Description

With the rapid growth in use of mobile devices, more and more mobile generated data is in great need of processing. A large amount of valuable content exists in natural text such as web pages, news feeds, SMS, and Twitter/WeChat messages. Natural language processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) language texts. NLP aims to provide a computer program with the ability to process and understand unstructured texts. In the mobile environment, NLP can make apps smarter by automatically analyzing the meaning of content and taking appropriate actions on behalf of their users. The state-of-the-art NLP techniques have proven to be useful in dealing with the information overload problem in the mobile environment, for example, news aggregation and summarization, question answering, information extraction and retrieval, semantic understanding, and personalization.

Using NLP techniques in the context of mobile devices has recently gained attention, among both academic and industry communities. Efforts have been made to develop various NLP applications for mobile platforms, such as retrieving information about places or events like Siri or context-sensitive information extraction like Google Now. However, it still lacks deep text processing capabilities, such as abstraction, summarization, and semantic understanding. Moving beyond the common applications, in the fast growing area such as healthcare, critical electronic health record data is accessible almost anywhere and near instantly in ICU. Patient notes can be recalled with a few taps on a screen. The apparent needs for the more complex information-intensive tasks that require sophisticated NLP analysis are increasing.

In this special issue, articles regarding the use of technologies, methodologies, and applications for natural language processing and mobile computing are invited. The special issue will be expected to show a diversity of new developments in these areas. Authors are encouraged to submit high-quality original research articles as well as review articles mainly describing original research and presenting results that advance the state of the art.

Potential topics include but are not limited to the following:

  • NLP techniques for the personalization of mobile users
  • NLP empowered mobile applications
  • NLP assisted information extraction and retrieval for mobile environment
  • NLP assisted information aggregation, abstraction, and summarization for mobile environment
  • NLP solutions for capturing mobile users’ interests
  • Question answering technologies for smart environment
  • NLP systems for mobile environment
  • NLP techniques for mobile health
  • Smart solutions for semantic understanding
  • Case studies, field trials, and research projects on NLP enhanced systems for mobile environment
  • Machine learning models for NLP in mobile environments
  • Research trends and challenges in NLP empowered mobile services

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 9130545
  • - Editorial

Natural Language Processing Empowered Mobile Computing

Tianyong Hao | Raymond Wong | ... | Fu Lee Wang
  • Special Issue
  • - Volume 2018
  • - Article ID 9434239
  • - Research Article

Recommending Mobile Microblog Users via a Tensor Factorization Based on User Cluster Approach

Xiangwen Liao | Lingying Zhang | ... | Guolong Chen
  • Special Issue
  • - Volume 2018
  • - Article ID 1789121
  • - Research Article

The Hierarchies of Multivalued Attribute Domains and Corresponding Applications in Data Mining

Yuxia Lei | Yushu Yan | ... | Feng Jiang
  • Special Issue
  • - Volume 2018
  • - Article ID 9839432
  • - Research Article

Automatic Approach of Sentiment Lexicon Generation for Mobile Shopping Reviews

Jun Feng | Cheng Gong | ... | Raymond Y. K. Lau
  • Special Issue
  • - Volume 2018
  • - Article ID 2678976
  • - Research Article

Using Sentence-Level Neural Network Models for Multiple-Choice Reading Comprehension Tasks

Yuanlong Wang | Ru Li | ... | Qinghua Chai
  • Special Issue
  • - Volume 2018
  • - Article ID 1827074
  • - Review Article

A Bibliometric Review of Natural Language Processing Empowered Mobile Computing

Xieling Chen | Ruoyao Ding | ... | Yi Zhou
  • Special Issue
  • - Volume 2018
  • - Article ID 9163160
  • - Research Article

A Mobile-Based Question-Answering and Early Warning System for Assisting Diabetes Management

Wenxiu Xie | Ruoyao Ding | ... | Yingying Qu
  • Special Issue
  • - Volume 2018
  • - Article ID 2329876
  • - Research Article

The Current Status and a New Approach for Chinese Doctors to Obtain Medical Knowledge Using Social Media: A Study of WeChat

Li Liu | Kunyan Wei | ... | Jianbo Lei
  • Special Issue
  • - Volume 2018
  • - Article ID 2379208
  • - Research Article

Recognizing Continuous and Discontinuous Adverse Drug Reaction Mentions from Social Media Using LSTM-CRF

Buzhou Tang | Jianglu Hu | ... | Qingcai Chen
Wireless Communications and Mobile Computing
 Journal metrics
Acceptance rate33%
Submission to final decision81 days
Acceptance to publication37 days
CiteScore2.900
Impact Factor1.819
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