The results indicate that disciplinary differences do exist in terms of the degree of matching text incidences.
Addressing above questions concerning transition patterns and their degree of sustainability, text mining was applied to municipal climate action plans (MCAPs), which are governance instruments in the context of the German Energy Transition.
I then classified the text types to a further degree of delicacy of text typology, as shown in Fig. 4.
The degrees of freedom (text {dof}_{tilde {k}}) in (5) are equal to the following: begin{array}{ll} text{NDMA}: & text{dof}_{tilde{k}}~~2left leftlceilfrac{tilde{k}}{N}rightrceil NM~~Qtilde{k}~~Qright), [2pt] text{H-NDMA}: & text{dof}_{tilde{k}}~~2left left leftlceilfrac{tilde{k}}{N}rightrceilR_{mathrm{h}}right) NMQtilde{k}Qright), end{array} (31).
The MPAs in our analysis covered a large range of ages, sizes and degrees of enforcement (Text S1; Fig. S1).
In its freedom from the conventional physical analogies of the creative act and in its degree of abstraction, this text is virtually unique in Egypt, and it testifies to the philosophical sophistication of the priests of Memphis.
First, when we analyze the three Neandertal bones Vi33.16, Vi33.25, and Vi33.26 separately, we obtain consistent values of the D statistics, which is unlikely to arise under the hypothesis of contamination because each specimen was individually handled and was thus unlikely to have been affected by the same degree of contamination (SOM Text 15).
Corpus-based measures aim to identify the degree of similarity between text units using statistical patterns of words derived from large corpora, where the most representative measures are cosine similarity, averaged Kullback Leibler divergence (KLD) and the squared Euclidean distance [ 15].
Playwrights such as Jean Genet, Eugène Ionesco, Arthur Adamov, and Samuel Beckett focused to a great degree on the realization of text in performance.
This has overshadowed to some degree the importance of texts and their qualitative analysis.
Hence, the score for the tweet t on the user A's interest fields S interest(A,t) can be defined as the max matching degree between the text of tweet and A's interest fields.
