Understanding Human Language for Computers: Goals & Applications of NLP, Lecture notes of Natural Language Processing (NLP)

Download Understanding Human Language for Computers: Goals & Applications of NLP and more Lecture notes Natural Language Processing (NLP) in PDF only on Docsity!

Goals of Natural language

Processing

Goals of Natural Language Processing

• (^) The ultimate goal of Natural language Processing is to help computers understand language as well as we do.
• (^) It is the driving force behind like Virtual Assistant, Speech Recognition, Sentiment Analysis, Automatic Text Summarization, Machine Translation and much more.

• (^) Speech Recognition- the translation of Spoken language into text.
• (^) Natural language Understanding- a Computers ability to understand language.
• (^) Natural language Generation- The Generation of natural language by a computer.

• (^) Human language is Special for several Reason. it is Specifically constructed to convey the Speaker Writer Meaning.
• (^) Enhance large Data Analysis- Natural language Processing can bring Objectives to Data Analysis, and Providing more Accurate and Consistent Result.

• (^) Maintain Higher Quality Customer Experience: NLP Can Also Analyze customer Survey and feedback, allowing team together timely Intel on how customer feel about a brand and steps they can take to improve customer sentiment.

• (^) Customer services : While NLP Powered Chat bots and Call bots are most common in customer service contexts, companies have also relied on natural language Processing to power virtual Assistant.
• (^) These Assistants are a form of conversational AI that can carry on most sophisticated discussion.

• (^) Human Resource : Recruiter and HR Personnel can use natural language Processing to shift through hundreds of Resume, Picking out Promising candidates based on keywords, education skills and other criteria.
• (^) NLP Data Analysis capabilities are ideal for reviewing employee survey and quickly determining how employees feel about the workplace.

• (^) E - Commerce : Natural language processing can help customer book tickets, Track order and even recommended similar products on e- commerce websites.
• (^) Team can also use data on customer purchases to inform what types of product to stock up on and when to replenish inventories.

• (^) Insurance : Insurance Companies can access claims with Natural language Processing since this technology handle both structure and unstructured data.
• (^) NLP Can also be trained to pick out unusual information, allowing team to spot fraudulent claim.

• (^) Education : NLP Powered apps can check for spelling errors highlight unnecessary or misspelled Grammar and even suggest simpler ways to Organize sentences.
• (^) Natural language Processing can also translate text into other language, aiding students in learning a new language.

• (^) Manufacturing : With its ability to process large amount of Data, NLP Can inform manufactures on how to improve production workflows. When to perform machine maintenance and what issues need to be fixed in product.
• (^) if companies need to be find the best price for specific materials, natural language processing can review various websites and locate the optimal price.

• (^) Cyber security : IT and security team can deploy and security teams can deploy natural language processing to filter out suspicious emails based on word choice, sentiment and other factors.
• (^) This makes it easier to protect different departments from spam, phishing scams and other cyber attacks