Natural language processing (NLP) is an artificial intelligence area that aids computers in comprehending, interpreting, and manipulating human language. In order to bridge the distance between human communication and machine comprehension, NLP organizations depend on a variety of fields, including computer science and computational linguistics.
Natural language processing enables computers to speak with people in their own language and accomplish other linguistic tasks. NLP, for example, allows computers to read text, listen to voice, evaluate it, gauge emotion, and identify which bits are significant.
Machines can now interpret more language-based data than people, without becoming exhausted, and in a consistent, impartial manner. Given the massive amounts of unstructured data created every day, from medical records to social media, automation will be essential for accurately processing text and audio data.
The complexity and diversity of human language is remarkable. We can communicate in a variety of ways, both orally and in writing. There are hundreds of languages and dialects, and each one has its own set of grammar and syntax rules, as well as words and slang. We frequently spell it wrong, shorten, or omit punctuation when writing. We have local dialects, mumble, stammer, and adopt terminology from other languages when we talk.
While controlled and uncontrolled learning, as well as deep learning, are now commonly employed to mimic human language, there is still a requirement for syntactic and semantic knowledge, as well as domain expertise, which current machine learning techniques do not always provide. NLP organizations are significant because it helps clarify linguistic uncertainty and gives helpful quantitative structure to data for many downstream applications, such as voice recognition and text analytics.
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5 leading NLP organizations around the world
According to Global NLP Organizations’ Market Report, the market was standing at USD 11.02 Billion in 2020 and is predicted to rise at USD 45.79 Billion by 2028. To know the reasons behind the CAGR of 19.49 % from 2021 to 2028.
IBM
IBM has built a thorough, comprehensive corporate citizenship strategy that we think matches with IBM’s values and enhances the influence they can have as a global corporation. They concentrate on certain social challenges such as the environment, community economic development, education and skills, public health, literacy, language, and culture, to name a few. Outside of work, IBM supports creative interests and passions, giving us everyone a fresh perspective on the world and its rising digital potential. Together, IBM and its partners can make significant progress via real innovation and action.
NetBase Quid
NetBase Quid is a next-generation customer and business intelligence platform that offers contextual perspectives to expose market dynamics, engage with customers, and comprehend the narrative behind rivals and the industry. The platform employs powerful artificial intelligence to analyze billions of indexed resources across all types of structured and unstructured data, enabling the brand, agency, and consulting services buyers to create smart, data-driven choices with accuracy, speed, and efficiency.
SAS
For enterprises seeking quick benefit from their data, SAS is a trusted analytics powerhouse. Their customers return to them because they have a deep bench of analytics solutions and a wide understanding of the sector. With SAS, we can deduce meaning from your data. Figure out what works and what doesn’t. Improve your decision-making. And we’ll be able to make a difference. They see a world in which everyone can make the right decisions based on reliable data and aided by SAS Analytics’ power and scalability.
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Verint
Verint connects work, data, and experiences throughout the workplace to enable the world’s most famous companies develop long-lasting customer connections. Verint enables businesses to adapt to the future of work, remove inefficiencies caused by institutional and data silos, and provide distinctive experiences at scale. Their products assist legendary businesses in bridging the gap formed when they lack the resources needed to produce experiences that meet or exceed customer aspirations.
Hewlett-Packard Enterprise
Hewlett-Packard Enterprise is committed to providing an exceptional customer experience. From how to consume to where to deploy and the capacity to grow when needed, our comprehensive approach to all your applications and data provides you the freedom and choice you need. HPE enables us to connect, secure, monitor, and act on all of the data, from edge to cloud, to help users transform and operate your digital business. They’re here to assist users address their most important data and IT concerns, no matter where we are on the transformation path.
Future possibilities
The market for NLP will benefit from increased demand for advanced text analytics. Advanced text analytics solutions have risen as a result of the integration of natural language processing with text analytics. NLP aids in the translation of human speech into computer speech. This aids with data analysis and the conversion of findings into human language for easier comprehension. The growing demand for text analytics in various organizations in order to acquire better market insights has pushed the demand for text analytics solutions. Which will lead to the growth of NLP organizations.
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