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sentiment_analysis.R
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sentiment_analysis.R
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#getting emotions using in-built function
mysentiment_google<-get_nrc_sentiment((google_text))
mysentiment_amazon<-get_nrc_sentiment((amazon_text))
mysentiment_facebook<-get_nrc_sentiment((facebook_text))
mysentiment_tech<-get_nrc_sentiment((tech_text))
#calculationg total score for each sentiment
Sentimentscores_google<-data.frame(colSums(mysentiment_google[,]))
Sentimentscores_amazon<-data.frame(colSums(mysentiment_amazon[,]))
Sentimentscores_facebook<-data.frame(colSums(mysentiment_facebook[,]))
Sentimentscores_tech<-data.frame(colSums(mysentiment_tech[,]))
names(Sentimentscores_google)<-"Score"
Sentimentscores_google<-cbind("sentiment"=rownames(Sentimentscores_google),Sentimentscores_google)
rownames(Sentimentscores_google)<-NULL
names(Sentimentscores_amazon)<-"Score"
Sentimentscores_amazon<-cbind("sentiment"=rownames(Sentimentscores_amazon),Sentimentscores_amazon)
rownames(Sentimentscores_amazon)<-NULL
names(Sentimentscores_facebook)<-"Score"
Sentimentscores_facebook<-cbind("sentiment"=rownames(Sentimentscores_facebook),Sentimentscores_facebook)
rownames(Sentimentscores_facebook)<-NULL
names(Sentimentscores_tech)<-"Score"
Sentimentscores_tech<-cbind("sentiment"=rownames(Sentimentscores_tech),Sentimentscores_tech)
rownames(Sentimentscores_tech)<-NULL
#plotting the sentiments with scores
ggplot(data=Sentimentscores_google,aes(x=sentiment,y=Score))+geom_bar(aes(fill=sentiment),stat = "identity")+
theme(legend.position="none")+
xlab("Sentiments")+ylab("scores")+ggtitle("Sentiments of people behind the tweets on tech giant GOOGLE")
ggplot(data=Sentimentscores_amazon,aes(x=sentiment,y=Score))+geom_bar(aes(fill=sentiment),stat = "identity")+
theme(legend.position="none")+
xlab("Sentiments")+ylab("scores")+ggtitle("Sentiments of people behind the tweets on ecomerce giant AMAZON")
ggplot(data=Sentimentscores_facebook,aes(x=sentiment,y=Score))+geom_bar(aes(fill=sentiment),stat = "identity")+
theme(legend.position="none")+
xlab("Sentiments")+ylab("scores")+ggtitle("Sentiments of people behind the tweets on Social Netwoking site FACEBOOK")
ggplot(data=Sentimentscores_tech,aes(x=sentiment,y=Score))+geom_bar(aes(fill=sentiment),stat = "identity")+
theme(legend.position="none")+
xlab("Sentiments")+ylab("scores")+ggtitle("Sentiments of people behind the tweets on tech as a whole")