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Table 9 is an example consisting of four questions x1, x2, x3, x4 and their topic assignments in the reference standard Y i and predicted topic assignments Z i. Table 10 shows how the example-based precision (P), recall (R), and F1 measure (F1) are computed using Eq. 1, Eq. 2 and Eq. 3 in Subsection "Evaluation metrics".
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In [53] text mining was applied to find trends in topics over time and predict topic popularity in the future.
After that, the app tracks all your choices to feed its algorithm, as well as looking at other users' patterns of choices to add "likely patterns" from their profiles to yours to try to predict topics of interest for you.
The data suggest that, as predicted, this topic evokes particularly strong feelings and that at least some opposition may be based on misunderstanding.
This problem is essentially a time-series forecasting issue [9], because one can regard the popularity score of each topic (e.g., the number of publications related to a specific topic) across different years as a time series data, and further predict the topic's unseen future score by using time-series forecasting.
In 2012, they used the algorithm to predict trending topics on Twitter topics with 95percentt accuracy, up to four or five hours before they trended.
It is nearly impossible to predict every topic that the interviewer is going to cover.
By learning the grammatical and sentence structure patterns of the source, a relational pattern is found between the source and target domains, which is used to predict the topic words in the target.
The platform is powered by OneRiot's proprietary Trending Topics Forecast Algorithm (TTFA), which attempts to predict what topics will trend before they blow up on Twitter or Facebook or Google Trends.
Predicting what topics will trend on Twitter A new algorithm predicts which Twitter topics will trend hours in advance and offers a new technique for analyzing data that fluctuate over time.
One can predict the topics of discussion — and those likely to be avoided.
Write better and faster with AI suggestions while staying true to your unique style.
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