Natural language processing (NLP) is the technology that enables machines to read, understand, make decisions, and interact in human language. The confluence of cognitive linguistics, computer science, informational engineering, artificial intelligence, and analytics, NLP powers speech recognition, natural language understanding, and natural language generation.

For example, whenever you chat with a customer service agent, you are most probably talking to a chatbot with advanced natural language processing ability. The more you interact with it, the more it learns to understand and respond to you.

Businesses across industries leverage NLP to reduce manual efforts, automate customer and vendor support, improve user experience, monitor feedback, and analyze the impact of business efforts and initiatives.  Marketers use NLP for social media monitoring, brand sentiment and reputation management, analytics, and market insights.

The following list shows the essential steps or phases in Natural Language Processing.

• Lexical Analysis- Looks at word structure issues
• Syntactic Analysis (Parsing) – Focusses on grammar and word relationships
• Semantic Analysis- Identifies the exact meaning of words
• Disclosure integration- Considers the context of the text
• Pragmatic Analysis – Takes care of overall communication and interpretation of language

The two significant components in NLP are listed below.

Natural Language Understanding (NLU)

By extracting metadata from concepts, entities, keywords, emotion, relations, and semantic roles, NLU helps machines understand and analyze human language. Businesses use NLU to comprehend customer problems in spoken and written communication.

Natural Language Generation (NLG)

Acting as a translator, NLG uses text planning, sentence planning, and text realization to convert computerized data into natural language representation.

According to a World Economic Forum study, the proliferation of machines and algorithms will create 133 million new jobs by 2022.

As industries have adopted Artificial Intelligence (AI), Machine Learning (ML), data science, and the Internet of Things (IoT) rapidly, the demand for Natural Language Processing professionals has increased drastically. Starting from Fortune 500 companies to quirky startups, all of them are actively employing certified professionals in the following capacities to design, develop, maintain, and analyze NLP systems.

• NLP Scientist
• NLP Engineer
• NLP Architect
• NLP Applied Research Scientist
• Cognitive Data Scientist
• Voice over artist

Do you want to advance your career in the NLP domain? Then you must join the Natural Language Processing Course at AICL in Chennai.

We have carefully crafted the course content and curriculum to help beginners, and experienced professionals unlock lucrative career opportunities that offer high remuneration. The following are the core benefits of joining the Natural Language Processing Course at AICL in Chennai.

• Structured learning and mastery of NLP fundamentals
• Hands-on exposure in WhatsApp analyzer, fake news detection, and topic modeling
• Comprehensive coverage of critical computational linguistic concepts
• Mentoring and guidance from faculty with rich industry experience
• 100% placement guarantee

Customers in today’s digital world prefer smart devices that offer personalized experiences and customized support. Natural Language Processing helps companies to gather and analyze text and voice-based data by allowing customers to interact with computers easily.

Businesses have resorted to adopting NLP technology extensively to utilize big data, fulfill personalization needs, and resolve customer issues.  The current size of the global Natural Language Processing market is $ 9.9 billion. According to a PRNewswire research report, the market size will grow at a CAGR of 18.6% and reach $ 27.6 billion by 2026.

Companies need to leverage NLP to survive in the competitive digital era. Interacting personally with customers and providing enhanced experiences in their native language is vital to gain trust factor and loyalty.

Businesses of all sizes, categories, and industries have set up AI and NLP teams to help build and maintain linguistic applications. The list below provides a glimpse of the industries that operate large NLP applications.

• Healthcare
• Retail
• High-tech
• Telecom
• BFSI
• Automotive
• Transportation
• Manufacturing
• Advertising and media

If you want fantastic career opportunities in NLP, then you must join the Natural Language Processing course at AICL in Chennai. Basic knowledge in Artificial Intelligence, mathematical concepts, English grammar, and Python programming are prerequisites for you to understand our NLP curriculum and course content.