Sentiment Analysis
Sentiment analysis involves the capture and tracking of opinions, emotions or feelings expressed by consumers in various types of interactions or documents, including social media, calls to customer service representatives, surveys and the like. Text analytics and natural language processing are typical activities within a process of sentiment analysis. The goal is to determine or assess the sentiments or attitudes expressed toward a company, product, service, person or event.Dataconomy
Explore Data & Analytics Statistics
- 45 percent of companies run at least some big data workloads in the cloud.
- 26 percent of businesses say data and analytics have significantly changed the nature of industry-wide competition.
- 61 percent of businesses that recognize the effect of data and analytics on their core business practices say their companies either have not responded to these changes or have taken only ad hoc actions rather than developing a comprehensive, long-term strategy for analytics.
- The amount of data generated each second in the banking sector will grow 700 percent by 2020.
- Big data ranks 20th across 33 key technologies when businesses were asked their top technologies and initiatives strategic to business intelligence.
- Content analytics usage among IT professionals increased from 43 percent to 54 percent between January 2018 and January 2019.
- Businesses that use big data saw a 10 percent reduction in overall cost.
- 29 percent of investment professionals use search trends to derive data.
- 29 percent of investment professionals use expert networks to derive data.
- 36 percent of investment professionals use web scraping to derive data.
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