off topic

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off topic

Introducing, addressing, or discussing things not relevant to or concerned with the subject at hand. Sometimes hyphenated (always if used immediately before a noun). Make sure you don't go off topic during your lecture, or you'll just confuse your students. This is off-topic a bit, but what do you think about the recent economic trend in the Asian markets? My father always includes this off-topic remarks whenever he tells a story, and it just drags the whole thing out for what feels like an eternity.
See also: off

*off topic

not on the topic of discussion; far from the general subject of a discussion; not part of the purpose of a particular communication channel, such as an Internet newsgroup. (*Typically: be ~; get ~; get someone ~.) The boys in the back of the room just love to get the teacher off topic.
See also: off
References in periodicals archive ?
As semantic information inherently consists of data with different modalities, we plan to extend our model to study and explore the interactions between multi-modal data for the sentiment topic analysis.
Domeniconi, "On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking," IEEE International Conference on Data Mining IEEE Computer Society, pp.
Existing indexing methods discussed in literature, do not cover topic based weighted citations for authors in multi-authored papers.
Hence, we divided the authors into 100 soft clusters, a topic that shows maximum probability for an author is considered to be his/her topic of interest.
Overall, Books for Topics as a website is colourful, aesthetically pleasing and interesting to browse.
Justin Osofsky, vice president of global operations, said the guidelines ensure that stories in trending topics represent "the most important popular stories, regardless of where they fall on the ideological spectrum."
To access APHA's Topics & Issues pages, visit www.apha.org/topics-andissues.
The proposed idea of hot topic discovery is to utilize the hot single words and explore them forward and backward.
For inference, the task is to estimate the sets of the following unknown parameters in the AToT model: (1) [PHI] = [{[[phi].sub.k]}.sup.K.sub.k=1], [THETA] = [{[partial derivative]}.sup.A.sub.a=1], and [PSI] = [{[[psi].sub.k]}.sup.K.sub.k=1] and (2) the corresponding topic and author assignments z , xm n for each word token [w.sub.m,n].
Because in the propagation of the topic, users have a higher probability of praising content than they comment the topic of the text, so the probability of l is given a higher weight value.
Whereas, in the second part of the questionnaire teachers were asked to share their views about each topic and subtopic of linked list regarding its level of importance, and the level of difficulty in terms of teaching.
This paper aims to enhance our previous work on pre-recognition of hot topic discovery [1].