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Pre-processing techniques for movie review sentiment analysis : a comparative study for best feature set determination
(Altınbaş Üniversitesi, 2022) Aly, Sohayla E.; Bayat, Oğuz; Duru, Adil D.
Sentiment analysis is considered as the process to extract the overall expression, opinions, or feelings from reviews about something such as products, services, or movies. A pre-processing is considered as a crucial phase in sentiment analysis for text mining because it allows us to analyse the reviews according to its intended meaning by removing all of the appendages which are the words that do not affect the semantic from sentences. And therefore, the number of features will decrease and thus accuracy will increase. Accordingly, we have decided to evaluate our experiment in identifying the best influencing technique of pre-processing for several features through making a comparison between the features and by combining them together to reach the best result based on features number for each pre-processing technique and classification accuracy. this comparison was done by using three algorithms for classification SVM, NB and DT after applying tools for feature selection and feature extraction with three techniques for tokenization. We concluded that there are some of these techniques that have a negative effect like lemmatization and the part of them is not due to any difference, other, which is a little part, have an effect