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U-Compare is available at http://-compare.org/ Contact: [email protected] The objective of text mining is to automatically extract information from unstructured text and store the information in a form that can be easily accessible by users (Ananiadou et al., 2007; Hunter and Cohen, 2006).
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Computerized text-parsing tools such as LSA allow an objective review of text responses that would be otherwise impossible to standardize.
The main objective of this text is a discussion which requirements an uncertainty assessment should fulfil.
The words describing the central objective of each text block becomes its title.
The objective of automatic text summarization is "to take an information source, extract content from it, and present the most important content to the user in a condensed form and in a manner sensitive to the user's application's need" [ 13].
The authors conclude the survey stating that text mining is an open research area and that the objectives of the text mining process must be clarified before starting the data analysis, since the approaches must be chosen according to the requirements of the task being performed.
Scaffolded reading assignments that include learning objectives, smaller sections of text to read and answer questions about, and in-class questions on the reading assignment to increase student accountability.
The first part of the objective uses text that contains the target word as context.
Our objectives were to appraise the scope of text messaging interventions in health care and to develop a framework for transfer of research findings from HIV to NCDs.
Our objectives were to analyse the effects of text messaging versus usual care in improving adherence to antiretroviral therapy (ART) in people living with HIV using individual patient data meta-analysis.
Objective data extracted were: slides per minute, lines of text per text slide, words per text slide, cases per minute, images per minute, images per case, number of audience laughs, number of questions posed to the audience, number of summaries, inclusion of learning objectives, ending on time, use of pre/post-test and use of special effects.
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