Special Issue "Natural Language Processing for Social Media"
Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 15784
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
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
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Social media analysis
- Natural language processing
- Text analysis
- Social media text
- Machine/deep learning approaches for social media text