Sentence examples for topic number from inspiring English sources

With the increasing of topic number, PMIs of all algorithms increase.

All of this is sure to be topic number one tomorrow, when American reports first-quarter results.

The list of e-petitions, with the topic, number of signatories and the open and close dates are given in Table 1.

The Hot Topic (number 32) chief executive peddles $8 dog-collar chokers, $30 neon-blue wigs and $84 black vinyl gowns to kids determined to stand out from the crowd.

We repeated 10 topic analyses for each T in this range and measured the final LL/token which suggested 100 topics as a suitable topic number for our analysis (see Figure 3).

However, MALLET offers a feature called hyper-parameter optimisation which alleviates the impact of the chosen topic number (Wallach et al. [2009a]) and allows to safely work with larger topic numbers.

Figure 3 Evaluation of topic model fit with different topic numbers.

Choosing larger topic numbers may result in a fragmentation of topics which may not always be easy to interpret semantically.

It can be argued that the choice of T is ultimately an arbitrary one driven by the research questions and the intended use of the resulting topic model; small topic numbers will result in semantically broad topics, with increasing topic numbers, those broader topics will be split in semantically more refined topics.

The evaluation results are obtained by a twofold cross-validation, where the topics are split into two equal-size subsets by parity in odd or even topic numbers.

The relationship between the number of topics and the log-likelihood (LL) per token as a measure of best model fit for topic numbers is shown for 10 sample MALLET LDA modelling runs for topic numbers in the range from 10too 300.