Sentence examples for topics and topic from inspiring English sources
For the second issue, we propose a relation model to describe the relationship between news topics and topic time.
This paper presents a statistic-based text mining method for discovering hot topics and topic evolution in online learning communities.
Extensive empirical results show that the new method significantly outperforms the LDA-based methods in term of model quality and meaningfulness of topics and topic hierarchies.
The site also analyzes trends in Tweets and feeds to display trending topics and topic clusters organized by categories (i.e. politics, sports, style).
Topic modelling algorithms reverse this assumed document creation process in order to infer topics and topic compositions that best explain a set of observed variables, here represented by the word occurrences in a given set of documents.
A topic modelling algorithm then reverses this process by, simply put, assigning the words in a given "observed" set of documents to topics, and topic distributions to documents, such that a set of documents generated on the basis of these distributions best fits the set of "observed" documents.
The choice of these so-called hyper-parameters determines the sparsity of the distributions and thus the variability in likelihood with which words will be assigned to topics and topics to documents.
Our examples appear to be primarily oriented around topic and topic expansion, and are only triggered by the need for repair where topic talk appears to be in trouble (when Jill's response is a word that does not fit the topic of Maureen's nationality, for example).
In the M-step, word-topic and topic-document probabilities are computed using expressions given in PLSA model section.
The term-document matrix A is given as the input, while W and H enclose the latent term-topic and topic-document information.
CENI uses the topic-question formal context to drive the conjunctive exploration of health questions, while iCOACH uses chain-linked category-topic and topic-question contexts (two tiers) to explore health questions.
