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Text Mining and Analytics: A Case Study from News Channels Posts on Facebook
Text Mining and Analytics: A Case Study from News Channels Posts on Facebook | SpringerLink
Nowadays, social media has swiftly altered the media landscape resulting in a competitive environment of news creation and dissemination. Sharing news through social media websites is almost provided in a textual format. The nature of the disseminated text is considered as unstructured text. Text mining techniques play a significant role in transforming the unstructured text into informative knowledge with various interesting patterns.
How Big Data Analysis helped increase Walmarts Sales turnover?
Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. In the past few years, researchers have relied on online content's sentiment analysis to capture public opinion about current events.
Social media provides a treasure trove of insights for brands looking to understand consumers. But due to the vast amount of social media data, powerful analysis is required to uncover insights. Text analytics is the process of deriving information from text sources Gartner. Text analysis can be applied to any text-based dataset, including social media, surveys, forum posts, support tickets, call transcripts, and more.