Research Article
Mental Mechanisms for Topics Identification
Algorithm 1
ReAD algorithm.
| (1) Inputs: document, dictionary, list of stop and undesirable words, | | decay rate η, and STM capacity | | (2) For each sequential word from a document (only if is not in | | list of stop words): | | (2.1) Place in STM and remove word that has been in STM the longest | | (2.2) Query dictionary with | | (2.2.1) = items from dictionary corresponding to word | | (2.3) Remove stop and undesirable words from | | (2.4) For each item k in (initial activation for new item = 0) | | (2.4.1) Increase item activation: = + 1 | | (2.5) For each item k for whichword is not in STM anymore | | (2.5.1) Decay item’s existing activation: = − 1/η | | (3) Output: Select the most activated items as topics |
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