What is Natural Language Processing?
Natural Language Processing, or NLP, is a branch of Artificial Intelligence (AI) that allows computers to comprehend text and speech with the same fluency as human beings.
Components of NLP:
- Computational linguistics
- Rule-based modeling of human language
- Machine learning
- Statistical and deep learning models
These technologies cohesively enable human language processing in the form of voice data or text to understand its meaning, along with intent and sentiment.
NLP comprises three steps:
- The first task is for the computer to understand the natural language, which is also the input language, using built-in statistical models. This is known as the speech-to-text process.
- In the next step, the Part-of-Speech (POS) tagging identifies the grammatical forms of the words by employing lexicon rules coded into the system.
- The third and final step involves text-to-speech conversion, whereby programming language is converted into text or audio for the user
Why is Natural Language Processing Important?
At its core, NLP allows computer programs to translate text from one language to another, scale various language-related tasks, and quickly summarize large volumes of textual data in real-time. Given the staggering volume of unstructured data in today’s world, every industry — from retail to healthcare — stands to benefit immensely from automation, specifically NLP.
In addition to structuring data, NLP offers clarity and cuts through the ambiguities of language, such as accents, dialects, misspellings, and unique syntactical rules. Furthermore, it imbues data with a numeric structure for several downstream applications, including GPS systems, digital assistants, and customer service bots. More importantly, in recent times, NPL has cemented its position as an efficient tool for streamlining business operations, boosting employee productivity, and simplifying critical organizational processes.
Can I Learn About Natural Language Processing Online?
With growing interest, companies and individuals are looking toward NLP as the next big thing. Because of this, more and more professionals realize the need to upskill, which has led several reliable resources to emerge. Among these, online natural language processing courses take precedence as they are flexible, affordable, and taught by industry experts worldwide. This offers considerable exposure and a sense of community for learners at all levels. Many of these courses also provide certification, which increases one’s employability significantly.
What Kind of Career Can I Get with a Background in NLP?
The NLP market is booming, with its value rising to USD 43 billion by 2025. The job outlook for NLP fields is bright, as nearly every business is keen on hiring highly-skilled specialists. As a promising career path, NLP offers several lucrative job roles:
- NLP Researcher
- NLP Scientist
Those with higher qualifications and exceptional expertise in the subject matter may also opt for NLP consulting, an emerging niche.
Why Take an Online Course at Emeritus?
Each Emeritus online course is designed keeping key learning outcomes in mind by a team of experts. We use the backward design methodology to develop instruction for learners of all ages. This enables us to craft unique, interactive, learning experiences that include a combination of assessments, hands-on activities, skill application, and more.
Emeritus also collaborates with the best universities and faculty around the world to curate the course curriculum that can effectively tackle present challenges in the industry, while preparing you for the trends and risks in the future. Our courses consist of assignments, exams, capstone projects, networking opportunities, a fine balance of practical and theoretical concepts, and the opportunity to learn from top minds in the industry. This adds to the holistic experience we try to provide for each learner.
We are also focused on providing courses that are standardized in quality. This is done by adhering to standards set by a global organization called Quality Matters which is focused on providing quality standards for online and innovative digital teaching and learning environments. The rigorous criteria ensure all our learners invest in quality education that is easily accessible and affordable.