#NaturalLanguageGeneration

[digitalbrolly]

Quiz Time with Digital Brolly! Are you ready to flex your digital marketing brain? 👉 What does Natural Language Generation (NLG) actually do in AI marketing tools?

💬 Got the answer? Drop it in the replies and tag a fellow AI geek! Let’s see who’s really keeping up with the future of marketing.

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[govindhtech]

Natural Language Generation In Artificial Intelligence

What is Natural Language Generation?

Natural text Generation, or NLG, is an artificial intelligence powered software process that uses both organized and unstructured data to generate natural written or spoken text. Instead than feeding back to people in a way that a computer might understand, it helps computers to do so in human language.

For instance, NLG can be used to provide a personalized, understandable response after analyzing client input. This enables chatbots and voice assistants to respond in a way that appears human.

Additionally, it can be used to convert complex data, including numerical data input, into reports that are simple to comprehend. NLG could be used, for instance, to automatically create weather updates or financial reports.

How does it work?

A variety of computer science procedures make it possible for Natural Language Generation technology to function. These consist of:

Linguistic computation

The study of spoken and written language from a scientific standpoint using computer-based analysis. This entails dissecting spoken or written communication and developing an understanding system that computer software may utilize. In order to develop a language model system that computers may utilize to precisely analyze human speech, it makes use of grammatical and semantic frameworks.

Processing Natural Language (NLP)

The practical application of computer linguistics to spoken or written human language is known as natural language processing, or NLP. NLG is categorized as a Natural Language Processing subcategory.

Natural Language Understanding (NLU)

Natural Language Understanding (NLU) attempts to ascertain the speaker’s mood, meaning, effort, or purpose in addition to the words or phrases being used. It advances the comprehension and brings the analysis closer to what a human would comprehend from the words. In order to assist make comprehension even more detailed, Natural Language Understanding advances machine learning.

Why is Natural Language Generation important for business?

Numerous business tools already employ NLG approaches, which are probably seen on a daily basis. When using search engines’ voice search feature or daily sports reporting in the news, you may observe it in action.

Consider implementing Natural Language Generation technology in your company for the following reasons:

It can expedite your critical data analysis

With NLG software, you may swiftly scan vast amounts of input and produce reports instead of manually analyzing crucial business information or by looking at the underlying data.

For instance, you can configure your NLG tools to generate a narrative framework in a language that your team can comprehend, as opposed to analyzing the vast amounts of structured data present in company databases. Additionally, you may make it simpler for consumers to ask questions about your program using the language they often use and receive a prompt, easily understandable response.

You can save time, money, and the resources required for data analysis by doing this.

It can react to input on your behalf in a timely manner

Thousands of text or speech-based outputs could be produced automatically utilizing Natural Language Generation (NLG), depending on your line of work. Examples of content creation could be:

Descriptions of products

Reports on sales

Emails from customers

Survey responses that are automatically generated

Responses from voice assistants or chatbots

You can take on the difficult chore of making these one at a time by using NLG. This lowers your cost to serve by lowering the time and effort your team must expend manually answering questions.

It can help you improve your customer relationships

Millions of client interactions can be summarized using Natural Language Generation and customized for certain use cases. Even better, you can react in a way that is more human-like and especially relevant to what is being stated.

More than 60% of customers say organizations should care more about their thoughts, and two-thirds think they should listen more. You may improve your customer interactions at scale by employing NLG approaches to generate tailored responses to what your customers are saying to you.

What does using Natural Language Generation entail?

Extractive and abstractive natural language creation are the most common methods.

In order to create a summary of a lengthy text, an extractive technique selects phrases that best illustrate important ideas and integrates them in a grammatically sound manner.

By identifying important concepts and then coming up with fresh language that aims to understandably convey the main ideas of a larger body of material, an abstractive technique produces novel content.

Regardless of the method, Natural language generation entails a number of stages to comprehend human language, analyze it for insights, and produce text that is responsive.

Natural Language Generation Definition

Natural Language Generation (NLG) creates human-language text using AI and computational linguistics. It entails turning numbers, symbols, and categorical data into understandable text or speech. Analyzing incoming data and using linguistic rules and statistical models, NLG systems can generate sentences, paragraphs, or entire narratives.

Chatbots, content automation, report generating, and tailored messaging are common. NLG can improve user experiences by offering digestible information, automating text generation, and making data insights more accessible.

Natural Language Generation Tools

Natural Language Generation in six steps

Analysis of data

Data must first be analyzed, including unstructured data like call audio transcriptions and structured data like financial information. To ensure that the final text produced is pertinent to the user’s needs whether those needs are to generate a particular report or provide an answer to a query the data is filtered. Your source data’s primary themes and the connections between them will now be identified by your NLG tools.

Understanding data

This is where a language model, machine learning, and natural language processing are useful. Based on its algorithmic training, your software can evaluate what is being and the context of these remarks after spotting patterns in the data. Your program recognizes the data it has been trained to recognize and can comprehend how it connects to real text when it comes to numerical data or other non-textual data kinds.

Creating and organizing documents

Based on the data being analyzed and the outcome you have requested (report, chat answer, etc.), your NLG solutions are currently working to provide data-driven narratives. A plan for the next document is made.

Sentence grouping

The material to be given is summarized using sentences and sentence fragments that have been determined to be pertinent.

Grammatical organization

When your software generates text, it applies grammatical principles from natural language to ensure that the text is comprehensible.

Presentation of the language

Lastly, the program will produce the finished product in the format of the user’s choice. As previously said, this could take the kind of a voice assistant response, a report, or an email sent to the customer.

Natural Language Generation best practice

Systems that use Natural language generation can produce text for a variety of business applications. To make sure you’re boosting productivity and making a return on investment, it’s best to use the system strategically, just like you would with any other.

Use artificial intelligence to your advantage for responding to customers

You get feedback from your clients all the time. The individuals you engage with want to establish a relationship with your company, whether that be through surveys, reviews from third parties, comments on social media, or other channels.

Customers will spend less time waiting for a response, you will save money on serving them, and they will feel more heard and connected if you use NLG tactics to answer to them promptly and intelligently. Don’t let customers wait and don’t pass up the vast amounts of client data that can be analyzed.

Select a highly intelligent system to change your company’s internal operations.

It is inefficient and time-consuming to rely on teams from every department to analyze all of the data you collect. With NLG solutions that generate reports and automatically respond to client interaction, you can relieve your staff of some of their workload and begin producing important insights automatically. You can immediately initiate responsive actions and keep numerous teams informed about the most recent in-depth insights using an integrated system.

How to start using Natural Language Generation (NLG) Systems

Because it can be more difficult for a machine to extract the most important information from lengthy text, unstructured data can present numerous difficulties for Natural Language Generation (NLG).

In order to achieve more relevant and human-like narrative around unstructured data, they at Qualtrics adopt a more hands-on and prescriptive approach.

Qualtrics Discover offers the perfect balance of interpretability and relevancy that is customized to your company needs by combining extractive and abstractive methodologies into a hybrid-based approach. This can be applied to improve employee performance, summarize insights, and change your contact center responses.

Read more on Govindhtech.com

[aiwikiweb]

Automate Business Reporting with Arria AI: Transform Data into Insightful Narratives

Arria AI is a leading Natural Language Generation (NLG) platform that turns complex data into easy-to-understand narratives. By combining Generative AI with Arria’s NLG tools, businesses can automate financial planning, operational reporting, and enhance decision-making through expert-level narrative insights. Arria integrates seamlessly with popular platforms like Excel, Power BI, and others, empowering businesses to generate clear, concise reports in real time—streamlining processes and improving productivity.

Core Functionality: Arria AI generates data-driven narratives that help businesses automate reporting, gain insights, and improve decision-making. The platform translates structured data into human-like text, making analytics accessible to everyone in the organization.

Key Features:

Automated Narrative Generation: Turn data into comprehensive reports instantly.

Integration with BI Tools: Add natural language to BI platforms like Power BI and Excel, enhancing data insights.

Customizable Insights: Generate tailored insights to suit business needs, from operational reports to executive summaries.

Generative AI Models: Use a combination of rules-based and generative AI models for precise, scalable automation.

Self-Serve Analytics: Empower teams to generate insights independently without needing extensive technical skills.

Benefits:

Improved Decision-Making: Gain actionable insights instantly, allowing for faster, data-driven decisions.

Time Efficiency: Reduce the time spent on report writing and analysis with automated solutions.

Scalability: Apply NLG to various departments and processes, from finance to healthcare, ensuring consistent reporting standards.

Ready to enhance your business reporting with AI-generated insights?

Visit aiwikiweb.com/product/arria/

[thedevmaster-tdm]

Deep Learning : Generative AI

[ijtsrd]

Survey on Natural Language Generation

by Joe G. Saliby "Survey on Natural Language Generation"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019,

URL: https://www.ijtsrd.com/papers/ijtsrd22903.pdf

Paper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/22903/survey-on-natural-language-generation/joe-g-saliby

call for paper Microbiology, international journal Microbiology, ugc approved journals Microbiology

In this paper, we are discussing the basic concepts and fundamentals of Natural Language Generation, a field in Natural Language Engineering that deals with the conversion of non linguistic data into natural information. We will start our investigation by introducing the NLG system and its different types. We will also pin point the major differences between NLG and NLU also known as Natural Language Understanding. Afterwards, we will shed the light on the architecture of a basic NLG system, its advantages and disadvantages. Later, we will examine the different applications of NLG, showing a case study that illustrates how an NLG system operates from an algorithmic point of view. Finally, we will review some of the existing NLG systems together with their features, taken from the real world. 

[pantechelearning]

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[oracletutorial4u]

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[thedevmaster-tdm]

#generativeai #artificialintelligence #chatgpt #entrepreneur #business #datascience #machinelearning

Unlock the world of Generative AI with this informative video! Delve into the realm of Generative AI and discover its inner workings, common applications, various model types, and essential fundamentals for utilization. Whether you're a beginner or an enthusiast, this video breaks down the complexities of Generative AI in an accessible and engaging manner. 🌐 Explore Common Applications: Uncover the diverse applications of Generative AI, from creative endeavors to practical solutions. Learn how this cutting-edge technology is transforming industries and enhancing user experiences. 🧠 Understand Model Types: Dive into the intricacies of different Generative AI model types, gaining insights into their unique functionalities and applications. From GANs (Generative Adversarial Networks) to VAEs (Variational Autoencoders), this video provides a comprehensive overview. 🔍 Master Fundamentals: Equip yourself with the foundational knowledge needed to harness the power of Generative AI. Understand the key concepts and principles that drive these intelligent systems, empowering you to navigate this fascinating field with confidence. 🚀 Elevate Your Understanding: Whether you're a developer, student, or tech enthusiast, this video caters to all levels of expertise. Elevate your understanding of Generative AI and stay ahead in the ever-evolving landscape of artificial intelligence. 🔗 Keywords: Generative AI, Artificial Intelligence, GANs, VAEs, Machine Learning, Deep Learning, Neural Networks, Applications of AI, AI Fundamentals, Technology Trends. Don't miss out on the opportunity to expand your knowledge of Generative AI. Hit play now and embark on a journey into the future of artificial intelligence.

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[thedevmaster-tdm]

#ai #generativeai #llm #machinelearning #chatgpt #datascience Understand Large Language Models (LLM) in this video. Join us as we delve into the inspiring technology behind these Generative AI methods. Discover how Artificial Intelligence and Machine Learning merge to revolutionize communication, creativity, and problem-solving Witness LLM's remarkable ability to generate intricate and coherent language, showcasing the true potential of Creative AI. Prepare to be amazed as we explore the limitless possibilities of LLM Models in Healthcare, Education, Proptech. Don't miss out on this educational journey to the forefront of technological advancement. What is LLM Model | What is Large Language Model | How LLM Model Works | AI Expert Arshad Khan. #GenerativeAI #GANs (Generative Adversarial Networks) #VAEs (Variational Auto encoders) #ArtificialIntelligence #MachineLearning #DeepLearning #NeuralNetworks #AIApplications #CreativeAI #NaturalLanguageGeneration (NLG) #ImageSynthesis #TextGeneration #ComputerVision #DeepfakeTechnology #AIArt #GenerativeDesign #AutonomousSystems #ContentCreation #TransferLearning #ReinforcementLearning #CreativeCoding #AIInnovation #TDM #health #healthcare #bootcamp #llm

[thedevmaster-tdm]

#ai #generativeai #llm #machinelearning #chatgpt #datascience Understand Large Language Models (LLM) in this video. Join us as we delve into the inspiring technology behind these Generative AI methods. Discover how Artificial Intelligence and Machine Learning merge to revolutionize communication, creativity, and problem-solving Witness LLM's remarkable ability to generate intricate and coherent language, showcasing the true potential of Creative AI. Prepare to be amazed as we explore the limitless possibilities of LLM Models in Healthcare, Education, Proptech. Don't miss out on this educational journey to the forefront of technological advancement. What is LLM Model | What is Large Language Model | How LLM Model Works | AI Expert Arshad Khan. #GenerativeAI #GANs (Generative Adversarial Networks) #VAEs (Variational Auto encoders) #ArtificialIntelligence #MachineLearning #DeepLearning #NeuralNetworks #AIApplications #CreativeAI #NaturalLanguageGeneration (NLG) #ImageSynthesis #TextGeneration #ComputerVision #DeepfakeTechnology #AIArt #GenerativeDesign #AutonomousSystems #ContentCreation #TransferLearning #ReinforcementLearning #CreativeCoding #AIInnovation #TDM #health #healthcare #bootcamp #llm

[thedevmaster-tdm]

#generativeai #artificialintelligence #chatgpt #entrepreneur #business #datascience #machinelearning Unlock the world of Generative AI with this informative video! Delve into the realm of Generative AI and discover its inner workings, common applications, various model types, and essential fundamentals for utilization. Whether you're a beginner or an enthusiast, this video breaks down the complexities of Generative AI in an accessible and engaging manner. 🌐 Explore Common Applications: Uncover the diverse applications of Generative AI, from creative endeavors to practical solutions. Learn how this cutting-edge technology is transforming industries and enhancing user experiences. 🧠 Understand Model Types: Dive into the intricacies of different Generative AI model types, gaining insights into their unique functionalities and applications. From GANs (Generative Adversarial Networks) to VAEs (Variational Autoencoders), this video provides a comprehensive overview. 🔍 Master Fundamentals: Equip yourself with the foundational knowledge needed to harness the power of Generative AI. Understand the key concepts and principles that drive these intelligent systems, empowering you to navigate this fascinating field with confidence. 🚀 Elevate Your Understanding: Whether you're a developer, student, or tech enthusiast, this video caters to all levels of expertise. Elevate your understanding of Generative AI and stay ahead in the ever-evolving landscape of artificial intelligence. 🔗 Keywords: Generative AI, Artificial Intelligence, GANs, VAEs, Machine Learning, Deep Learning, Neural Networks, Applications of AI, AI Fundamentals, Technology Trends. Don't miss out on the opportunity to expand your knowledge of Generative AI. Hit play now and embark on a journey into the future of artificial intelligence. #GenerativeAI #GANs #VAEs #ArtificialIntelligence #MachineLearning #DeepLearning #NeuralNetworks #AIApplications #CreativeAI #NaturalLanguageGeneration #ImageSynthesis #TextGeneration #ComputerVision #DeepfakeTechnology #AIArt #GenerativeDesign #AutonomousSystems #image #translation #ContentCreation #TransferLearning #ReinforcementLearning #CreativeCoding #AIInnovation #tdm

[sharvaricmi]

Natural Language Generation Market 2021 Highlights Recent Trends, Business Opportunities and Market Growth till 2028 | Narrative Science, CoGenTex, Inc., ARRIA NLG plc, Automated Insights, Inc., and Phrasetech.

Natural language generation, or NLG, is a software approach for producing natural language output. While everyone believes that text is the output of any NLG process, there is disagreement on whether the system's inputs must be non-linguistic. Weather and patient reports, photo captioning, and chatbots are all examples of reports created using NLG techniques.

The Natural Language Processing Market is very competitive, with numerous significant competitors vying for more market share. These market leaders have been concentrating on growing their client bases in international nations, as well as creating new inventive solutions, as well as pursuing agreements and mergers to enhance their market share and profitability.

Asia Pacific is expected to have a considerable growth in demand for NLG technology throughout the forecast period. This is due to the increased usage of NLG tools in India, China, and Japan. The regional market has substantial development opportunities, thanks to an increasing number of natural language generation companies in India, such as vPhrase, Stride.ai, and others. As artificial intelligence technologies become more widely employed in banking, financial services, and insurance, the regional market is expected to grow. 

Read more @ https://cmiaspireblog.blogspot.com/2021/12/natural-language-generation-market-size.html

[pantechelearning]

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