Verbal communication in robotics: a review about fields of applications and trends in the last decades based on computational linguistic analysis.
Dataset:
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Data_VC_AMV contains data divided on publication years or divided in groups (Contrast analysis). The NLP tool T2K has been used to perform this analysis.
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The other three form all together the main corpus (topic mining). data_speech_robot1 has to be merged together with data_speech_robot2000 and data_speech_robot2019. R was used to perform this analysis.
To merge together the files for the topic mining analysis, you can use these lines of code:
dat = read.csv("data_speech_robot1.csv",stringsAsFactors = FALSE)
dat_miss = read.csv("data_speech_robot_2000.csv",stringsAsFactors = FALSE)
dat_miss1 = read.csv("data_speech_robot_2019.csv",stringsAsFactors = FALSE)
dat1 <- rbind(dat,dat_miss,dat_miss1)
The R script used for the analysis can be asked by sending an e-mail to [email protected]