To provide a more symmetrical and global perspective of the emotive patterns in the data sets, two rule- and lexicon–based ML techniques (ie, TextBlob and VADER) and an advance algorithm, which combines a ML model and a neural network (NN) for NLP, (ie, Word2Vec-BiLSTM) were used to process the cleaned data.

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