educational text miningnatural language processing in educationtext analyticswriting analyticsThe explosive growth of online education environments is generating a massive volume of data, specially in text format from forums, chats, social networks, assessments, essays, among others. It produces exciting ...
2017. "Aligning IS Curriculum with Industry Skill Expectations: A Text Mining Approach," in Proceedings of the 25th European Conference on Information Systems, pp... Patrick Fll,F Thiesse - European Conference on Information Systems 被引量: 1发表: 2017年 加载更多...
The competition of maintenance services in the offshore wind industry is continually increasing. The quality of the services acts as the distinguishing feature in the industry. Furthermore, there are public standards, which lead to the permanent necessity to offer further education and training program...
a set of text and data mining services that leveraged traditional library knowledge – such as copyright, licensing and information literacy pedagogy – packaged with new skills, such as text analysis techniques and concepts, to offer TDM services for both research and education. The...
in poorer areas would improve living standards, which would mean access to affordable housing and education. Government funding for drug and alcohol rehabilitation programmes would help reduce dependency on stimulants and the need for the CRIMINAL activity that surrounds them. In conclusion, crime is ...
Text miningComputer science educationTeaching data structuresLearning theoriesText mining has been successfully used to discover interesting patterns and extract useful information from analyzing massive text data exists on the internet, books and other text sources. Computer s...
What about argumentation mining “Argumentation mining aims to automatically detect, classify and structure argumentation in text. Therefore, argumentation mining is an important part of a complete argumentation analysis, i.e. understanding the content of serial arguments, their linguistic structure, the ...
2. A brief history of text analysis in sociology 3. Text mining for sociological research 4. Promising future developments 5. Challenges of text mining for sociological research 6. Conclusions FUNDING Declaration of competing interest Acknowledgements Appendix: Text Mining for Social Science – The Sta...
A huge amount of data is generated daily leading to big data challenges. One of them is related to text mining, especially text classification. To perform
focuses on extracting experts’ attributes from web pages which are plain text documents, so it is an important part of text mining. For example, specific attributes of an expert are research field, gender, education degree etc. Though, we will collect many records about an expert, there is ...