Special Issue "Text Mining in Complex Domains"
A special issue of Multimodal Technologies and Interaction (ISSN 2414-4088).
Deadline for manuscript submissions: closed (30 June 2019) | Viewed by 19439
Special Issue Editors
Interests: text mining; information retrieval; professional search; user aspects; evaluation
Interests: text mining; digital humanities; lexical and relational semantics; co-reference resolution; named entity recognition; automatic summarization
Special Issue Information
Dear Colleagues,
There is an abundance of text data available in a variety of domains. These data offer a large potential for knowledge discovery if the texts can be effectively disclosed with data mining techniques. However, text data is challenging for data mining because it is typically unstructured, often noisy, and open-ended – newly added documents bring new vocabulary and thus new features.
In developing Text Mining methods, every domain has its own unique challenges. Examples of complex text types that have gained attention of researchers in the past decade are: scientific publications, historic documents, patents, electronic health records, policy documents, and social media data. Text Mining research has its roots in the Natural Language Processing community as well as the Information Retrieval community, and receives attention from many application domains. We are seeking for more coherence in Text Mining research, by bringing together papers on text mining research from different angles.
This special issue invites submissions on the following topics:
- Text mining methods, among which: named entity recognition, relation extraction, text categorization, text summarization, authorship detection, sentiment analysis
- Text mining applications for complex domains
- Domain adaptation for text mining methods
- Evaluation of text mining methods
- Pre-processing pipelines for text mining
- Natural Language Processing for text mining
- Information Retrieval for text mining
- User interfacing for text mining
- User studies addressing text mining applications
- Methods for mining text with images
Dr. Suzan Verberne
Dr. Iris Hendrickx
Guest Editors
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. Multimodal Technologies and Interaction 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 1600 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.
Keywords
- Text Mining
- Natural Language Processing
- Information Retrieval
- Domain adaptation
- Evaluation
- Knowledge Discovery