Natural Language Processing for Social Media
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 50314
Special Issue Editor
Interests: natural language processing; text mining; text mining for open source software; data science; data analysis; machine learning for text analysis; multiword expression recognition
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Social media has revolutionised the way users can express themselves, discuss, and exchange information online, generating vast amounts of textual data. Not only researchers in natural language processing, text analysis, information science, psychology, and social science, but also companies and organisations worldwide have shown vigorous interest in structuring information, processing text, and extracting trends from social media data.
Natural language in social media is different from traditional resources such as newspapers, books, and scientific articles. It usually contains abbreviations, emoticons, neologisms, connotations, humour, and sarcasm. On the other hand, companies and organisations are interested in analysing social media text due to the value of public opinion and its reflection on profits.
This Special Issue focuses on the dissemination of original contributions to discuss challenges, novel tasks, approaches, and evaluation methods for social media analysis.
Topics of interest include, but are not limited to, the following:
- Spam and noise detection;
- Language/dialect identification;
- NLP tools: text normalisation tokenisation, art-of-speech tagging, chunking, and parsing;
- Machine translation;
- Automatic summarisation;
- Sentiment analysis;
- Emotion detection;
- Data collection and annotation;
- Natural language visualisation for social media;
- Applied social media text analysis: healthcare, retail, marketing, finance, media, politics, disaster monitoring, security, and defence.
Dr. Yannis Korkontzelos
Guest Editor
Manuscript Submission Information
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Keywords
- Social media analysis
- Natural language processing
- Text analysis
- Social media text
- Machine/deep learning approaches for social media text