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Special Issue "Selected Papers from the Text Mining and Applications Track at EPIA 2017"
Deadline for manuscript submissions: closed (12 January 2018).
Interests: geographic text analysis; geographic information sciences; applied data science and machine learning
Special Issues and Collections in MDPI journals
Interests: information retrieval; information extraction; machine learning; digital libraries
Interests: machine translation; natural language processing
Interests: natural language processing; information extraction; computational creativity; creative systems
Interests: text mining; machine learning; data mining
Dear Colleagues,This Special Issue focuses on extended versions of selected papers from the upcoming 7th edition of the Text Mining and Applications (TeMA 2017) track of the EPIA Conference on Artificial Intelligence.This track will feature contributions from researchers working in Human Language Technologies (HLT), i.e., Natural Language Processing (NLP), Computational Linguistics (CL), Natural Language Engineering (NLE), Text Mining (TM), Information Retrieval (IR), and related areas.
A detailed description for the track, together with the topics of interest that constitute the focus of its call for papers, is available online at https://web.fe.up.pt/~epia2017/thematic-tracks/tema/. The track’s description emphasizes the fact that, especially on the Web, a huge amount of textual information is openly published every day, offering new insights and many opportunities for innovative applications of Human Language Technologies. Both hidden and new knowledge can be discovered by using text mining methods, at multiple levels and in multiple dimensions, and often with high commercial value. By seeking contributions related to this general theme, TeMA is deeply related to particular subject areas listed for the Information journal, such as knowledge management, social media and social networks, and information extraction.
The authors of the best papers presented at TeMA 2017, selected after the revision of the original papers by members of the track’s program committee, and thus corresponding to high quality work describing significant advances in the area, will be invited to submit extended versions of their work to this Special Issue. Members of the TeMA program committee will act as reviewers for the extended versions submitted to this Special Issue (i.e., each submission will be blindly reviewed by three researchers in its specific area).
Assist. Prof. Bruno Martins
Assoc. Prof. Pável Pereira Calado
Assist. Prof. Hugo Gonçalo Oliveira
Dr. José Gabriel Pereira Lopes
Assist. Prof. Joaquim Ferreira Silva
Assoc. Prof. Altigran Soares da Silva
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 papers will be 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 1000 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.
- Text Mining
- Natural Language Processing
- Natural Language Engineering
- Information Extraction and Information Retrieval
- Mining Web and Social Media Contents