Abstract
With the rise of technology, anyone can easily share their sentiments through social media platforms like Facebook, Twitter, LinkedIn, Google+, and Instagram. Sentiment analysis is a technique that categorizes opinions from pieces of text to determine a sentiment score (positive, negative, or neutral). Recommendation systems usually aim to match user patterns by finding similar users or different users according to their sentiment scores. Sentiment analysis is dependent on machine learning- or lexicon-based approaches.
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