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Sentiment analysis is readily available and easily accessible to most developers. It offers a powerful avenue to quantify the success of your business and use data science to improve it.
Sentiment analysis is a powerful tool that enables businesses, governments, and researchers to gauge public opinion or customer satisfaction by analyzing large sets of textual data.
Add big data analytics and sentiment analysis together, and the result is something surprisingly simple yet universally coveted by marketers in the enterprise: You get feedback.
To be specific, the method of sentiment analysis with supervised learning (SL) was used for the estimation of attitudes towards Mr. Abe, whether supporting him or not, from massive tweet data.
Planet Money tries to make a program that reads Donald Trump's tweets and then trades stocks. The first step is training the program to interpret the tweets using something called sentiment analysis.
Letizia Mencarini, Delia Irazú Hernández-Farías, Mirko Lai, Viviana Patti, Emilio Sulis, Daniele Vignoli, Happy parents’ tweets, Demographic Research, Vol. 40 (JANUARY - JUNE 2019), pp. 693-724 ...