DocumentCode :
3571801
Title :
Sentiment analysis: Measuring sentiment strength of call centre conversations
Author :
Priyadarshana, Y.H.P.P. ; Gunathunga, K.I.H. ; Nipuni N.Perera, K.K.A. ; Ranathunga, L. ; Karunaratne, P.M. ; Thanthriwatta, T.M.
Author_Institution :
Fac. of Inf. Technol., Univ. of Moratuwa, Moratuwa, Sri Lanka
fYear :
2015
Firstpage :
1
Lastpage :
9
Abstract :
Measuring sentiment strength can be considered as one of the key areas of sentiment analysis. The existing sentiment word scoring functions are based on the intensity of adjectives in the sentences. To date, there is a very minimal work has been done for measuring sentiment strength based on adverb and adjective combinations. This research proposes a sentiment word scoring method considering the adverb-adjective combinations of a given sentence. This is subject oriented hence this approach is proposed for a call centre domain. We use the linguistic analysis of adverbs of degree to satisfy the adverb-adjective scoring. Then a new approach has been introduced to calculate the sentence wise sentiment score by enhancing the existing sentence level sentiment scoring algorithm. Authors propose the way of determining the total sentiment strength of a given sentence. We describe the results of our experiments on set of 100 call centre conversation audio files between the call centre agent and customer and compare our algorithms with the existing sentiment scoring algorithms. It can be concluded that these enhancements have an accuracy of 74% in precision.
Keywords :
behavioural sciences computing; call centres; natural language processing; adjectives intensity; adverb-adjective combinations; call centre agent; call centre conversations; customer; linguistic analysis; sentence wise sentiment score; sentiment analysis; sentiment strength; sentiment word scoring functions; Atmospheric measurements; Correlation; Particle measurements; Resource description framework; Velocity measurement; Sentiment strength; adverb-adjective scoring; adverbs of degree; sentiment analysis; word scoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical, Computer and Communication Technologies (ICECCT), 2015 IEEE International Conference on
Print_ISBN :
978-1-4799-6084-2
Type :
conf
DOI :
10.1109/ICECCT.2015.7226053
Filename :
7226053
Link To Document :
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