Repustate has helped organizations worldwide turn their data into actionable insights. Learn how these insights helped them increase productivity, customer loyalty, and sales revenue.
Banking customer experience is of the most important needs of any bank, given the complexity of today’s banking needs and competitive landscape.
In this article, we tell you how brands can leverage Arabic NLP through Repustate IQ to get intelligent market insights.
Learn how to do Twitter sentiment analysis in Arabic to improve social listening and strategic business empowerment in the Arab world.
Take a look at the top 3 real-world examples of how AI-based Arabic natural language processing (NLP) empowers businesses.
Arabic natural language processing (NLP) is an advanced application of AI and machine learning used to understand Arabic dialects.
A few months ago we began a task of migrating our Arabic sentiment analysis engine from a Python/Cython implementation to a Go implementation. The reason: speed. Go makes asynchronous programming and concurrency a cinch to use and that’s where we were able to realize some crazy speed boosts. Our English language sentiment analysis engine can analyze about 500 documents / second.
Arabic sentiment analysis is here. Repustate has always had a mindset of not resting on our laurels. We’re constantly improving, always iterating, and in an endless pursuit of the best software solutions we can produce. Today is the culmination of our latest efforts: Arabic sentiment analysis. Starting today, customers of our paid plans can analyze their Arabic social media data just as they can analyze English data.