It is common practice to believe that Natural Language Processing began in Santa Cruz, California, in the early 1970s when Dr John Grinder, who had been an Assistant professor of Linguistics in the later 1920s and a 20-year-old psychology student in the U.C. Santa Cruz, encountered and was made acquainted.
Natural Language Processing, generally abbreviated as NLP, is a part of man-made consciousness that manages the association among computers and people utilizing the common language. Do you want to know more about it? Then you’re right here. You will come to know about its features and Job career prospects.
What is NLP?
Natural Language Processing, or NLP for short, is comprehensively characterized as the programmed control of characteristic language, similar to discourse and text, by programming. The investigation of regular language preparing has been around for over 50 years and outgrew the field of semantics with the ascent of computers
About NLP
Natural Language Processing (NLP) alludes to AI strategy for speaking with shrewd frameworks utilizing a characteristic language, for example, English.
Handling of Natural Language is required when you need a savvy framework like a robot to proceed according to your guidelines when you need to hear choice from a discourse-based clinical master framework, and so on
The field of NLP includes making computers to perform valuable errands with the normal dialects people use. The information and yield of an NLP framework can be
- Speech
- Composed Text
Why Use Natural Language Processing?
Natural language processing helps computers communicate with humans in their own language and scales other language-related tasks. For example, NLP makes it possible for computers to read text, hear speech, interpret it, measure sentiment and determine which parts are important.
Who uses Natural Language Processing?
Speech Recognition. Speech recognition technology uses natural language processing to transform spoken language into a machine-readable format. Speech recognition systems are an essential part of virtual assistants, like Siri, Alexa, and Google Assistant, for example.
Certification for NLP
Getting Certified is a closer step to getting a job. And NLP has some of the certifications, where you can be certified in NLP and build your career
- NLP certification
- Natural Language Processing Certification in TensorFlow
- Natural Language Processing (NLP) with Python NLTK
- Deep Learning: Advanced NLP and RNNs.
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Features of Natural Language Processing
- Tokenization.
- Part-of-speech tagging.
- Dependency Parsing.
- Constituency Parsing.
- Lemmatization & Stemming.
- Stopword Removal.
- Word Sense Disambiguation.
- Named Entity Recognition (NER)
Job Responsibilities
- Designing and developing NLP applications.
- Using effective text representation techniques and classification algorithms.
- Training and evaluating models
- Plan NLP applications and items
- Select the correct commented on datasets for administered learning methods
- Utilize viable content portrayal methods to create valuable highlights
- Recognize and use the right calculations for explicit NLP ventures
- Create NLP ventures as per recommended necessities
- Train created NLP models and assess their adequacy
- Lead measurable examinations of models, and change models where conceivable
- Expand AI structures and libraries for NLP ventures
Job Role
In helping data scientists understand and analyse this text, Natural Language Processing or NLP is becoming more popular. In this article we will help you grasp this artificial intelligence business’s consumer demand and discuss the current developments in NLP wages for engineers.
- NLP engineer
- AI engineer
- ML engineer
- Data scientist.
Top Location for NLP developer job
The top cities of India where NLP developer jobs are in demand are
- Bangalore
- Pune
- Hyderabad
- Mumbai
- Delhi.
Name of the companies hiring for a Natural Language Processing
NLP is the newest technology at the crossroads of computer analysis, machine learning and deep learning. The development of robots and algorithms is projected to generate 133 million workers by 2022, according to a report by the World Economic Forum.
Furthermore, there will be many prospects for skilled and qualified staff in AI / ML space in the future. EJ and Nasscom ‘s study “Future of jobs in India” reported that 9% of the workers in positions needing new skills.
- Reverie tech.
- Braina AI assistant.
- DheeYantra.
- Supertext.ai.
- Niki.ai.
- Vernacular.ai.
- Mihup Communications.
- RaGaVeRa Technologies.
Salary packages for Natural Language Processing
The average annual salary is₹876,252 NLP engineering is an ever-evolving career. And you can steadily work your way up the ladder and advance to higher ranks on the back of your technical competence.
Where and how we are using this technology in real time?
NLP allows machines to break down and interpret human language. It’s at the core of tools we use every day from translation software, chatbots, spam filters, and search engines, to grammar correction software, voice assistants, and social media monitoring tools.
Do you need basic skills to need to learn this course?
Necessary skills for a NLP
- Understanding of text representation techniques, algorithms, statistics.
- Machine Translation & Compilers experience.
- Knowledge of machine learning frameworks and libraries.
- Familiar with Big Data frameworks – Spark, Hadoop.
- Text classification & clustering skills.
Conclusion
Therefore, NLP is developing into an IT and business intelligence game changer. We have also reviewed the context of the new tech and today analysed the various types of jobs in the market. Then, we looked at India’s NLP wage and concluded with some up-and – coming developments.