as an aromatic and colorful plant of substantive taste, saffron (crocus sativus l.) owes such properties of matter to growing class of the secondary metabolites derived from the carotenoids, apocarotenoids. regarding the critical role of micrornas in secondary metabolic synthesis and the limited number of identified mirnas in c. sativus, on the other hand, one may see the point how the characte...

Information Retrieval queries often result in a large number of documents found to be relevant. These documents are usually sorted by relevance, not by an analysis of what the user meant. If the document collection contains many documents on one of those meanings, it is hard to find other documents. We present a technique called conceptual grouping that automatically distinguishes between diffe...

We investigate co-indexed groups, that is groups whose co-word problem (all words defining nontrivial elements) is an indexed language. We show that all Higman-Thompson groups and a large class of tree automorphism groups defined by finite automata are co-indexed groups. The latter class is closely related to dynamical systems and includes the Grigorchuk 2-group and the Gupta-Sidki 3-group. The...

Scientometrics is one of the most important scales for evaluating scientific outputs. Co-word and social network analysis (SNA) were used to investigate relationships in field accounting researches indexed on Scopus. The findings study indicate that frequent topics vocabulary this area economic analysis, effects. Moreover, valuable subject areas identified: based closeness, they are water resou...

Induced by “big data,” “topic modeling” has become an attractive alternative to mapping cowords in terms of co-occurrences and co-absences using network techniques. Does topic modeling provide an alternative for co-word mapping in research practices using moderately sized document collections? We return to the word/document matrix using first a single text with a strong argument (“The Leiden Ma...

Emotion classification from text typically requires some degree of word-emotion association, either gathered from pre-existing emotion lexicons or calculated using some measure of semantic relatedness. Most emotion lexicons contain a fixed number of emotion categories and provide a rather limited coverage. Current measures of computing semantic relatedness, on the other hand, do not adapt well ...

The class of co-context-free groups is studied. A co-context-free group is defined as one whose coword problem (the complement of its word problem) is context-free. This class is larger than the subclass of context-free groups, being closed under the taking of finite direct products, restricted standard wreath products with context-free top groups, and passing to finitely generated subgroups an...

Very few pairs of English words share exactly the same letter bigrams. This linguistic property can be exploited to bring lexical context into the classification stage of a word recognition system. The lexical n-gram matches between every word in a lexicon and a subset of reference words can be precomputed. If a match function can detect matching segments of at least n-gram length from the feat...