Machine learning (ML) for natural language processing (NLP) and text analytics require using machine learning methods and artificial intelligence (AI) to admit the meaning of text documents. These documents can be just about anything that contains the text: social media comments, online reviews, survey responses, even financial, medical, legal and administrative documents. In reality, the role of machine learning and AI in natural language processing and text analytics is to improve, hasten and automate the primary text analytics functions and NLP properties that turn this structured text into functional data and insights.
We handle text analytics and NLP solutions, but at our core, we’re a machine learning company in Andhra Pradesh. We keep up with thousands of supervised and unsupervised machine learning models that augment and improve our systems. And we’ve spent more than 15 years gathering data sets and exploring new algorithms.
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