We know that not only the test dictionary, but also the coefficients are generated in random and independent locations, the specific distribution of the sample data widens the performance gap between our proposed ALM-DL and K-SVD.
7, 8 Databases can also be derived from population-based health records, in which the valuable information include data standardization and annotations, e.g., adverse event dictionaries such as MedDRA, drug dictionary RxNORM and ATC codes, lab test dictionary LONIC, etc.
We also tested other dictionary model selection approaches which can reduce the computational cost.
We tested the dictionary from ChemSpider on an annotated corpus and compared the results with those for the Chemlist dictionary.
This difference in HASH approach is magnified by testing with dictionary files because the number of phrases that begin with the same first 2 bytes is too large, often up to more than 100, and the number of words beginning with the same first 6 bytes is greatly reduced, usually less than three.
Based on these initial tests, the dictionaries extracted from Jochem, ChEBI and CTD were selected, as their combination led to the best results when used in a dictionary-matching approach as well as when used to train a machine-learning model with a reduced set of features.
All the developed syllabification resources like source codes, libraries, dictionaries, test results, and log files are publicly available [31].
A few SW components of the testing tool (statistics, dictionary, ContentManager) may be reused, if other algorithms or technologies would need to be evaluated.
We store data on the Vermont Advanced Computing Core VACCC), and process the text first into hash tables (with approximately 8 million unique English words each day) and then into word vectors for each 15 minutes, for each sentiment dictionary tested.
The sub-tests for the dictionary categories noun (α = 0.77), article (α = 0.59), verb (α = 0.81) and preposition (α = 0.52) previously yielded defensible information as did the sub-tests for the more recent grammar descriptors technicality (α = 0.69), word stacks (α = 0.50), passive voice (α = 0.60) and cohesive devices (α = 0.75).
We tested four different dictionary sizes (k = 100, 200, 500 and 1000), all yielding similar results (Supplementary Material), and we report later in the text results for k = 500, which obtained slightly higher accuracies.
