Sentiment Analysis: How Businesses Extract Feelings From Data

4 min read

Sentiment analysis is a methodology that extracts feelings, moods, opinions, and other types of subjective information from data. Also known as “opinion mining”, it is a sub-area of natural language processing (NLP) that combines text analysis, computational linguistics, and biometrics to detect, extract, measure, and analyze emotional states and personal opinions.  Data used in sentiment analysis typically comes from public online sources and applications, including article and blog comments, product reviews, public social media posts, mobile apps, and forums as long as no personal data is being collected. When combined with web scraping, sentiment analysis can help companies extract unique…...

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Gediminas Rickevičius Gediminas Rickevičius, Vice President of Global Partnerships at Oxylabs. For over 13 years, Gediminas Rickevicius has been a force of growth for leading information technology, advertising and logistics companies around the globe. He has been changing the traditional approach to business development by integrating big data into strategic decision-making. As a Vice President of Global Partnerships at Oxylabs, Gediminas continues his mission to empower businesses with state-of-art public web data gathering solutions.