Today, Natural Language Processing (NLP) has become an indispensable part of Artificial Intelligence (AI), as it helps computers/machines understand, learn, as well as process human language and sentiments for performing a variety of tasks. This is basically required for optimizing and enhancing the AI-based understanding of human sentiments, languages and performing semantic analysis, with the help of data annotation. It can be text, audio or video (visual) data. And, here in London, there are data experts like “Aya Data” that can easily help you in this endeavor. They’ve got specialists in their dedicated NLP teams that offer C1 / C2 level English, French, Spanish and fluency in over 10 African languages or dialects. A majority of companies based out of West Africa that speak French are now benefiting through NLP services, as performed by specialists. It is basically centered on training computer vision models and empowering machine learning initiatives, by helping systems/computers understand or interpret the real meaning of the sentiment, language, culture, syntax and accents related to a particular African dialect.

A Scientific Way to Train and Improve a Company’s Machine Learning Program

It is all about empowering human-to-machine interactions through enhanced algorithms. A computer only understands its ‘native’ machine language that is code (binary, digital, analog). But, when it comes to understanding the real meaning and sentiments of languages like French, Spanish, Portuguese or German, there has to be a special ability and training. This is exactly where NLP technology comes into play. Through Named Entity Recognition, Sentiment & Content Analysis and Audio & Text transcription, a machine is able to understand the underlying meaning or sentiment of a particular language. Today, you can command your computer/system to play a favourite song or know about the weather of a place, just by speaking with it. This is made possible through NLP, apart from other AI-based elements like machine learning and deep learning. It can therefore be defined as an automatic manipulation of speech and text through embedded software, or in simple technical parlance, ‘Computational Linguistics’. This is how machines are trained for decoding large volumes of textual and unstructured data into meaningful content. It is through audio, video & text analysis, content categorization, sentiment analysis, content extraction, machine translation and speech to text & vice versa. This is how NLP works and functions.