SAS Sentiment

SAS sentiment analysis is a comprehensive software. For most challenging part of web text analysis is misspelling. SAS can proofread and conduct clustering analysis at ease. With its rule-based Natural Language Processing, SAS grades and categories the messages efficiently.

Octoparse

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Insights-driven businesses are growing at an average of more than 30% each year, and by 2021, they are predicted to take $1.8 trillion annually from their less-informed peers.
70 percent of investment professionals use “alternative data” or plan to do so in the next year.
Customer/social analysis is considered the second most important big data analytics use case, followed by predictive maintenance.
Only 16% of organizations can currently say that 75% or more of their employees have access to company data and analytics.
Data warehouse optimization is considered the most important big data analytics use case, and is considered critical or very important by 70 percent of businesses.
People generate 2.5 quintillion bytes of data each day.
36 percent of investment professionals use web scraping to derive data.
Data-driven organizations are 23 times more likely to acquire customers, six times as likely to retain customers, and 19 times as likely to be profitable as a result.
By 2025, more than a quarter of all data created will be real-time, with 95% of that data generated by the Internet of Things.
29 percent of investment professionals use expert networks to derive data.

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