Exact(1)
If we let w id = w i(d), denote the topic proportion of topic i in dth document, for d ∈ D, then the normalized weights w ˜ i are simply computed as: (1) w ˜ i = ∑ d = 1 | D | w i d ∑ i = 1 n ∑ d = 1 | D | w i d The normalize function in line (2) of the Scoring Function is computed using Eq. (1).
Similar(59)
Finally, we compare the proportion of topics that are present in the top 200 n-grams that we associated with men and women using chi-square tests.
In the absence of topical asymmetries, one would expect to observe only minor differences in the proportions of topics for men and women.
In the end, images are characterized by the proportion of latent topics and this representation is found to be more reliable than the BoVW-based feature while calculating the similarity between images.
Coding the transcripts with the initial framework was complicated by the fact that this framework covered only a small proportion of the topics of assessment programmes that were discussed, and by the interrelatedness of the different elements, which had initially been conceived of as discrete.
Figure 3 shows the ordered proportion of the 20 topics for the TRSAwardeeSet and Figure 4 shows the word clouds of the top 20 words for each topic.
This trend does not align with that of topic proportion.
In our implementation the only set of constraints we place on the value of topic proportions are those set by κ1 and κ2.
The threshold of 0.02 was chosen, because the average number of words per analysed abstract after removal of stop-words was approximately 100 - a topic proportion of 0.02 thus corresponds to two words, which we propose is the absolute minimum for a semantic interpretation of a topic assignment.
The proportion of calls received by topic of call and type of caller did not change in any meaningful way during this time (data not shown).
Since the KH Coder calculates word frequencies without analyzing the full context, some misclassifications were observed and manually eliminated when calculating this proportion of cases in each topic.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com