Sentence examples for method for topic from inspiring English sources

"Latent topic modeling for text analysis" presents methodological details underlying non-negative matrix factorization as a method for topic modeling (Lee and Seung 1999).

In addition, we use a cotagging method for topic discovery as we think that it suits multimedia crawling more than the traditional taxonomy methods do, because it can help to discover some hidden and dynamic tag relations that may not be encoded in a rigid taxonomy (e.g., "tree" and "sky" may be related in many sets of scenery photos).

In the following subsection, we briefly discuss some well known methods for topic discovery such as, association rules, latent semantics, and latent Dirichlet allocation.

Recent research, however, has built connections between linear algebraic and probabilistic methods for topic modeling (Arora et al. 2013), supporting the usefulness of linear algebraic methods as an efficient way to compute topic models.

We present a novel method for hierarchical topic detection where topics are obtained by clustering documents in multiple ways.

In contrast to quantitative research that constitutes an abstract representation of a real situation leading to criticism of its representational accuracy of complexity (i.e., complexity reduction approach), qualitative research emphasizes an understanding of relationships within complexity is a more appropriate method for this topic (i.e., complexity absorption approach).

This paper presents a statistic-based text mining method for discovering hot topics and topic evolution in online learning communities.

Here we also introduce methods for evaluating topic model classifications using the official classifications as a benchmark.

To evaluate student attitudes toward the use of games to promote learning when introducing the students to a brand new subject topic prior to a lecture, when reviewing a previously taught subject topic, or when being used as the sole method for teaching a new subject topic.

As empirical material, this article uses focus groups conducted in 2012.1 Three focus group discussions were held: one in Finland, Germany and Israel.2 Focus groups are a suitable data collection method for studying complex topics because they allow participants to explore issues using their own words [39].

We devised methods for categorising topics as there was little guidance from JLA for carrying out this aspect of the process; however, these methods require further refinement.