Arabic Sentiment Analysis www.repustate.com
Fast, accurate Arabic sentiment analysis. No translations needed. Repustate draws insights directly from any native Arabic text to give you in-depth, actionable data analysis with one click.
What are the benefits of Repustate's Arabic NLP solution? The Repustate Arabic Sentiment Analysis solution is made specifically for Arabic data. It understands three major Arabic dialects - Gulf Peninsular, Egyptian, and Levantine Arabic - and can be calibrated to be an exact fit for your business. Listed below are the main advantages of the tool: ●
Understand your Arabic-speaking customers
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Evaluate the 3 largest and most popular Arabic dialects
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Visualize all the insights in a customer insights dashboard
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Obtain granular Arabic emotion analysis by aspect
● Data security with on-premise deployment or through Cloud ● Custom-made model specific to your brand, domain, and dialect ● Multilingual semantic analysis capability to help you scale globally fast
Why should we never use translations for Arabic Sentiment Analysis? Translations yield incorrect results to a very high degree since they dilute the nuance of the word in the original language. Different languages have different grammatical constructs for negations, amplifiers, and root words. If a text has multiple topics and sentiments (as reviews and comments usually do) this difference in language rules renders the aggregate sentiment score of the data wrong. Therefore, translations can lead to incorrect insights that can be detrimental to a company’s return on investment and business. As your Arabic sentiment analysis company, Repustate never translates your data. We use our own painstakingly collated, highly precise, individually developed Arabic part-of-speech tagger and lemmatizers. This is what ensures you the highest possible accuracy of sentiment scores from your data, so you can get the right insights.
Understand your data, customers, & employees with 12X the speed and accuracy.
Thank you! Visit: www.repustate.com to learn more