Cell

Naive Bayes classifier

Biology

Support vector machine

World Wide Web

Machine learning

Artificial intelligence

Natural language processing

Data science

Polarity (international relations)

Computer science

Social media

Genetics

Sentiment analysis

Mathematical and Computational Applications

Growth in the area of opinion mining and sentiment analysis has been rapid and aims to explore the opinions or text present on different platforms of social media through machine-learning techniques with sentiment, subjectivity analysis or polarity calculations. Despite the use of various machine-learning techniques and tools for sentiment analysis during elections, there is a dire need for a state-of-the-art approach. To deal with these challenges, the contribution of this paper includes the adoption of a hybrid approach that involves a sentiment analyzer that includes machine learning. Moreover, this paper also provides a comparison of techniques of sentiment analysis in the analysis of political views by applying supervised machine-learning algorithms such as Naïve Bayes and support vector machines (SVM).

Machine Learning-Based Sentiment Analysis for Twitter Accounts