Sentence examples for topics identification from inspiring English sources
The main study objectives are: 1) to set up interventions promoting patient involvement in these regions in the selection of HTA topics (identification and prioritization) and in the development of the assessment plan of the chosen subject, and 2) to assess the impacts of these interventions from the point of view of patients and other groups involved in HTA.
This approach is an extension of topic identification, as described in [2].
The topic identification algorithm's performance becomes doubtful in various cases.
For the task of topic identification our experiments show a relative reduction in topic identification error of 44.94% when compared to the baseline method, the Generalized Vector Model with a classic TF IDF weighting scheme.
These techniques include text segmentation, summary extraction, feature selection, term association, cluster generation, topic identification, and information mapping.
Topic discovery, also called "topic identification", "topic finding", "label identification", "cluster labeling", or "category labeling" to name a few, aims to find common themes of a set of documents which carry consistent semantic meaning [18].
Information retrieval based techniques, such as topic identification by means of Latent Semantic Analysis, are used to identify the topic in a recognized transcription of an audio segment.
In particular, this is a two-stage iterative process that consists of (1) news topic identification (i.e., detection), and (2) event tweet extraction.
The objective of the study is to determine the best set of parameters for neural networks that are designed to perform automatic new topic identification.
These cases are explored and the reasons underlying the inconsistent performance of automatic topic identification are investigated with statistical analysis and experimental design techniques.
