Sentiment Analysis Using Machine Learning Approach

Sentiment Analysis Using Machine Learning Approach

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Customers feedback is a valuable asset for businesses, that can be click here used in order to improve their performance.One of the fastest spreading areas today in computer science - Sentiment Analysis, helps to extract precious information from textual data, in order to identify the feeling of a statement.This research aims to build a classifier to predict customers’ satisfaction, based on Amazon reviews dataset, for different brands of mobile phones.The paper proposes a comparison between four text classification algorithms - Naïve Bayes, Support Vector Machine, Decision Tree and Random Forest, using different feature extraction techniques, such as Bag of words and TF-IDF.

In addition, the models are evaluated using accuracy, precision, recall and F-score metrics.Our experiments revealed that Support Vector Machine achieves the best results and is very suitable for classification of the sentiment on dragon ball lg disney product reviews.