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Based upon this assumption, we connect three theoretical and empirical domains: (1) neural models of language processing and production, (2) statistical methods used in the construction of functional brain images, and (3) corpus linguistic tools, such as Latent Semantic Analysis (henceforth LSA), that are used to discover the topic organization of language.
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Michelson and Macskassy [6] proposed an entity-based profiling approach to discover the topics of interest for Twitter users by examining the entities they mention in their Tweets.
In the same way, [17] proposed an entity-based profiling approach, which aims to discover the topics of interest for Twitter users by examining entities they mention in their tweets and leveraging Wikipedia as a knowledge source.
60 years ago (From The Issue Of Sept. 15, 1937)"One need not move far from the Potomac to discover the foremost topic of political discussion in America today: Will President Roosevelt seek a third term?
To facilitate and support learners have a better understanding of the communication focus, this paper presents an approach to discover the hot topics and patterns of topics evolutions in online learning communities.
Then considering the shortness, sparsity, and high volume of tweets, we introduce an effective method to discover the latent topics of streaming tweet content, which uses recently proposed incremental biterm topic model (IBTM).
Trend: Twitter displays a list of immediately popular keywords and hashtags on the user's homepage to help users discover the emerging topics in Twitter, and these keywords are referred to as trends.
The experimental study and evaluation show that the proposed approach outperforms the peer approaches, i.e. opinion mining and clustering-summarization, in terms of users' responsiveness and its ability to discover the most important topics.
It depends if I have or don't have the appropriate vocabulary".. Task-specific factors could have quite a large influence on how students feel about SE, and is in line with the findings of Yashima, Ikeda, and Nakahira (2016), who discovered that the topic of conversation had a considerable impact on the talk time and participation of Japanese students in an oral English class discussion.
Genieo's technology automatically discovers the user's topics of interest when they are browsing and generates a personal home-page with relevant content and personalized news widgets.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com