Sentence examples for topic cluster from inspiring English sources
We developed a new topic cluster based information navigation system called SimMed.
To represent their semantic meanings, we present 20 most frequent words for each topic in the box at the corner; and for each topic cluster, we also show most frequent words by building a hyper-topic that aggregates all the included topics.
The entity words and the topic words are important in calculating similarity or distance measure for documents or news reports for these nodes to be positioned in the same topic or sub topic cluster.
The projection of each abstract as a point in this space was color coded based on the topic cluster to which it belongs.
The central topic cluster in our graphical analysis included both moral correlates research, and discussion of the ethics issues associated with using fMRI to putatively reveal facets or contents of the mind – often referred to as mind-reading.
This 'Joint' ranking method coupled with an unsupervised topic clustering model is shown to have the potential to discover topics of interest or concern to a local community.
In the other approach we separate the documents in the training dataset into topic clusters by using the k-means algorithm.
To address these issues, this paper proposes SubCast, a novel distributed address assignment and routing scheme based on a topic clustering system and fractal theory iterated function systems.
This approach combines term ranking, localised language analysis, unsupervised topic clustering and multilingual sentiment analysis to extract prominent topics through analysis of Twitter's tweets from a period of time.
The topic clusters of these journals reveal the focus of each journal, which may be determined by the dominant methodologies used, the activity whose safety is studied or the object of study (e.g. workplace, safety management, regulation, etc).
We will give an overview of the evolution of several flagship Bloomberg ML and AI projects, such as sentiment analysis, question answering, market impact prediction, social media monitoring, topic clustering and time series analysis.
