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A number of these dictionaries have addressed the role of combinations of sentiment words, negators, and intensifiers, while almost none of them considered the heterogeneous effect of the occurrence of multiple linguistic phenomena in sentiment compounds. Regarding the weaknesses of the existing sentiment dictionaries, in addressing the heterogeneous effect of the occurrence of multiple intensifiers, this research presents a sentiment dictionary based on the analysis of sentiment compounds including sentiment words, negators, and intensifiers by considering the multiple intensifiers relative to the sentiment word and assigning a location-based coefficient to the intensifier, which increases the covered sentiment phrase in the dictionary, and enhanced efficiency of proposed dictionary-based sentiment analysis methods up to 7% compared to the latest methods.<\/jats:p>","DOI":"10.3233\/jifs-202879","type":"journal-article","created":{"date-parts":[[2021,5,18]],"date-time":"2021-05-18T13:42:13Z","timestamp":1621345333000},"page":"11763-11776","source":"Crossref","is-referenced-by-count":8,"title":["GINS: A Global intensifier-based N-Gram sentiment 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