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].
Identification of topics that are in trend is of immense assistance to industry and governmental institutions when allotting research resources.
Ebner et al. (2009) A single case The search and identification of topics of an idea competition need to be broad to attract numerous participants.
The proposed approach can be applied to improve the accuracy of trend predictions that consider only the temporal behavior in scenarios where it is possible to recover the connection between the individuals who generate the data (e.g., trend identification of topics discussed in the blogosphere).
In contrast, statistical modeling techniques including Latent Dirichlet Allocation (LDA) [4] make the automated identification of topics from large document collections and corpora possible [5].
DC participated in the design of the study, the preliminary identification of topics, and the feasibility assessment; and drafted the manuscript.
RG, JF and MC each participated in the design of the study, the preliminary identification of topics, and the feasibility assessment; and helped to draft the manuscript.
LEB oversaw all study activities, participated in the design of the study, participated in the preliminary identification of topics, conducted stakeholder engagement, and drafted the manuscript.
It is based on MAUI (https://code.google.com/p/maui-indexer), a tool that combines a keyphrase extraction algorithm and a machine learning toolkit for the identification of topics in textual documents.
