Table 6 Summary of logistic regression used in opinion mining from text

SVM + Multinomial NB + LR + RF

[52]

To develop a clinical decision support system for the personalised therapy process

Drug review dataset

Positive, negative or neutral

Bernoulli NB + SVM Linear SCV + RF + NNs + LR

[57]

To present a comparison among several sentiment analysis classifiers in the learning environment

Twitter (educational opinions in an Intelligent Learning Environment)

Emotions positive or negative, engagement, excited, boredom and frustration

NB + LR + DT

[48]

To perform tweets classification with the help of Apache Spark framework

Twitter dataset (Kaggle and Twitter Sentiment Corpus)

Positive, negative or neutral

LR + k-NN + SVM + DT + RF + Ada Boost + Gaussian NB

[58]

To analyse the reviews posted by people at four different product websites

Amazon reviews, Yelp reviews, IMDB reviews, Indian Airlines reviews

Positive and negative

Multinomial NB + SVM + LR

[54]

To compare the performance of different machine learning algorithms in performing sentiment analysis of Twitter data

Twitter

Positive or negative

SVM + NB + LR + RF

[50]

Mining consumer reviews with a machine learning approach by converting reviews into vector representations for classification

Amazon review dataset

Positive or negative