Natural Language Processing Research papers must tell the main role of research in Natural Language Processing. It is actually the study of interaction between computer and the human languages.
Natural Language Processing (NLP) tries to develop machines that understand and responds to text or voice data. And it replies with text or voice of their own as like the way what humans do.
Full form of NLP is Natural Language Processing. It is the branch of artificial intelligence. NLP techniques enables computers to comprehend, generate, and manipulate human language.
NLP applications has the ability to interrogate the data with natural language text or voice.
Natural language processing is the branch of computer science.And more specifically, the branch of Artificial Intelligence is concerned with providing computers the capability to recognize texts and spoken words. NLP has occurred for more than 50 years and has heavy roots in the area of linguistics. It has various real-world applications in a number of various fields that includes medical investigations and study, search engines and business intelligence.
Why Natural Language Processing?
The most extensively utilized NLP is machine translation that helps with conquering language obstacles. As the number of data available online is increasing gradually, the necessity for accessing and processing is highly important. To change data from one language then onto the next, machine translation can be employed. The NLP methodologies could aid the machine to realize the importance of sentences that advances the efficiency of machine translation.
Advantages of Natural Language Processing
Natural language processing (NLP) associates the studies of data science, computer science, and linguistics to understand language much as humans do. It's useful for businesses because it breaks down human language making it easier for machines to analyze automatically.
With no-code NLP-driven platforms of NLP tools are becoming more available than ever.
It helps businesses to process enormous quantities of text data, streamline their operations, decrease costs, improves customer satisfaction, and more.
Top Benefits of NLP
Empower your employees
It is easy to implement
Streamline methodologies and decreases the cost
It helps users to ask questions about any subjects and get a direct response within seconds.
Gain real, actionable insights
It helps to understand your market better
Advances customer satisfaction
It performs Large-scale study
Get a more objective and accurate analysis
NLP provides exact answers to the question
NLP will not provide unwanted information
NLP aids computers to communicate with humans through any language.
It is very time effective It also improves…
The proficiency of documentation process
Accurateness of documentation
Recognize the information from large databases.
Disadvantages of NLP
NLP is unable to adapt to the new domain
It possesses a limited function
NLP is not 100% reliable and it is never 100% dependable.
NLP is built for a single and specific task
NLP will be failed to show context.
This requires more keystrokes
There will be a chance of error in its prediction and results.
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Applications of Natural Language Processing (NLP)
Now, data science is a highly fashionable topic in the field of Data Science. Everyone is trying to understand NLP and its applications to make a career around it. NLP is highly involving in various research fields such as,
Social Media monitoring
Hiring and recruitment
Social Media monitoring
Nowadays there are more people are using social media for posting their thought about a specific product, policy, or matter. This encompasses some useful info about an individual’s likes and dislikes. This unstructured data analysis will help you in generating valuable insights.
It is sure that everyone at any point might use google translator to find out what a specific word or phrase means in various languages. It is appealing good and interesting to see various meanings in various languages. The technique is also involving in google translator.
Customer service and experience are extremely important for any company. It helps companies to develop the quality of their products even better and it helps to keep customers happy and satisfied. Interacting with every customer individually and resolving their problems individually is the toughest task.
In survey analysis, many companies nowadays using NLP tools to get customer's feedback on various products of their company. Because of the accurateness and reliability, these NLP tools are highly used by many industries and business fields and in research areas.
Targeted advertising is highly used in some kind of online shopping applications like Amazon. NLP is implemented here in targeted advertising to give relevant advertisements for customers that they might be interested in. many online shopping is nowadays using this NLP highly to satisfy their customer’s need.
Hiring and recruitment
Hiring and recruitment is a core duty of the human resource department. And this department is the most important department for a company. This will help the HR department to select candidates based on their CVs. NLP will help HRM in categorizing and analysing their CVs.
There are some voice assistants being used by many popular companies such as Google Assistant, Amazon Alexa, Apple Siri, and more. Such devices highly used NLP for recognizing user’s comments. Nowadays, in online applications, this is highly useful to recognize and reply for the customer’s voice and commands.
Grammar checking tools such as Grammarly are highly useful for writers to develop better content with high quality. Here, NLP is helping grammar checking tools to improve the readability of content and hence letting you deliver your message in a possible way
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