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January 17, 2024, vizologi

Applications: Natural Language Generation Use

Natural Language Generation (NLG) technology is really interesting. It lets computers generate language that sounds like people talk, using data. NLG has lots of uses, like chatbots, virtual assistants, and creating personalized product suggestions or content automatically. These new ways of using technology are changing industries such as marketing, customer service, and journalism.

By creating language that makes sense and sounds natural, NLG is transforming how businesses and organizations talk to their audience. Let’s look at all the different and useful ways we can use Natural Language Generation.

What’s Natural Language Generation?

Natural Language Generation is a software process driven by artificial intelligence. It produces natural written or spoken language from structured and unstructured data. NLG helps computers to interact with users in human language rather than in a way a computer might.

There are three types of NLG: Basic NLG, Template-driven NLG, and Advanced NLG. Basic NLG simply converts data into natural language. Template-driven NLG uses pre-defined templates to generate language. Advanced NLG uses deep learning models to create language.

These types of NLG work by analyzing data, structuring documents, aggregating sentences, and organizing language in a grammatically correct way. NLG can help businesses in various ways. It can speed up data analysis, respond to customer input, and improve customer relationships. It enhances operational efficiency and customer engagement by generating reports and content, automating virtual assistants and chatbots, and facilitating communication in finance, banking, and manufacturing sectors.

How Computers Understand Us: The Basics of Natural Language Processing (NLP)

The Smart Parts of Computers That Get Language: Natural Language Understanding (NLU)

Natural Language Understanding (NLU) helps computers understand human language. It involves computational linguistics and Natural Language Processing.

Computers use NLU to analyze, interpret, and respond to input. This helps transform data into easily understood reports and improve customer relationships.

Natural Language Generation has three types: Basic NLG, Template-driven NLG, and Advanced NLG.

Basic NLG starts with structured data and fills in the blanks to generate text. Template-driven NLG uses pre-defined templates to produce language. Advanced NLG uses models to generate complex text.

NLG works by processing data and communicating conclusions. It examines content, comprehends data, structures documents, aggregates sentences, organizes grammar, and presents language.

Businesses can use NLG for analytics reporting, content automation, virtual assistants & chatbots, finance & banking, and manufacturing. NLG can enhance operational efficiency by speeding up data analysis, responding to customer input, and improving customer engagement.

For instance, NLG can automate the process of creating content for business reports, transform raw data into comprehensible narratives, and personalize responses in virtual assistant conversations.

Different Kinds of Natural Language Generation and How They Work

Natural language generation can be broken down into three types: Basic NLG, Template-driven NLG, and Advanced NLG.

Basic NLG transforms data into text simply. Template-driven NLG uses predefined templates to create content. Advanced NLG employs complex algorithms to produce language that resembles human speech.

NLG processes data and effectively communicates its findings through content examination, document structure, sentence aggregation, grammar organization, and language presentation.

NLG is crucial in various applications like analytics reporting, content automation, virtual assistants & chatbots, finance & banking, and manufacturing. For instance, NLG can enhance operational efficiency by converting data into easy-to-understand reports and improve customer engagement by responding to customers using human language. Furthermore, NLG allows virtual assistants and chatbots to interact with users in a more natural manner.

Businesses can use different NLG tools and software options to improve their operations, such as Arria, Automated Insights, Clickvoyant, Drift, Exceed.ai, HyperWrite, MarketMuse, Narrative Science, Pencil, Persado, Phrasee, and Yseop. These tools can accelerate data analysis, respond to customer input, and enhance customer relationships through natural language generation. They are ideal for businesses seeking to adopt NLG to transform their operations and effectively engage with their customers.

Natural Language Generation Can Do Cool Stuff for Businesses

Making Reports from Numbers: How NLG Helps with Analytics

There are three types of Natural Language Generation methods:

  • Basic NLG
  • Template-driven NLG
  • Advanced NLG

Basic NLG focuses on converting data into automated language. Template-driven NLG utilizes pre-written templates for generating reports. Advanced NLG is more complex and flexible, providing advanced language generation capabilities.

NLG helps with analytics and making reports from numbers by converting complex data sets into easily understood language. For example, NLG can take raw data from financial reports and generate written summaries that highlight key points and insights. This makes it easier for decision-makers to comprehend the data and take appropriate action.

Some examples of NLG software used for generating reports and analyzing data include:

  • Arria
  • Automated Insights
  • Clickvoyant
  • HyperWrite
  • MarketMuse
  • Narrative Science
  • Pencil
  • Persado
  • Yseop

These tools utilize NLG technology to process and interpret large volumes of data. Then, they generate coherent and insightful reports that can be used for various analytical purposes in business and marketing.

When Computers Write Stuff for You: Content Automation with NLG

Natural Language Generation comes in three types:

  1. Basic NLG.
  2. Template-driven NLG.
  3. Advanced NLG

Basic NLG summarizes and simplifies data.

Template-driven NLG uses pre-made templates to produce content.

Advanced NLG generates more complex and creative language output.

Natural Language Generation can assist businesses in various ways:

  • Providing analytics reporting
  • Creating content for virtual assistants and chatbots
  • Improving operational efficiency in finance and banking
  • Enhancing customer engagement by producing personalized content.

Some useful NLG tools and software options for content automation include:

  • Arria
  • Clickvoyant
  • MarketMuse
  • Narrative Science
  • Pencil
  • Persado

These tools offer businesses the ability to transform structured and unstructured data into natural language output, improving communication with customers and operational efficiency.

Chatting with Robots: Virtual Assistants & Chatbots Powered by NLG

Natural Language Generation has three main types: Basic NLG, Template-driven NLG, and Advanced NLG.

Basic NLG follows pre-defined rules to generate sentences. Template-driven NLG uses pre-built templates to generate language. Advanced NLG employs machine learning and deep learning to create more complex language.

NLG is used in businesses to automate content by turning data into easy-to-understand reports, responding to customer input, and enhancing customer relationships. It also speeds up data analysis and facilitates efficient communication with customers.

Various NLG software and tools are available for virtual assistants and chatbots. Some of these include Arria, Automated Insights, Clickvoyant, Drift, Exceed.ai, HyperWrite, MarketMuse, Narrative Science, Pencil, Persado, Phrasee, and Yseop. These tools use natural language processing and understanding to generate human-like language for virtual assistants and chatbots.

Keeping Track of Money: NLG in Finance & Banking

NLG is used in finance and banking for a few things. It helps with automating data analysis, creating financial reports, and improving customer relationships through personalized communication.

When it comes to tracking money, NLG transforms complex financial data into easy-to-understand reports, finds patterns in transactions, and gives insights into market trends.

Some examples of NLG software that can be helpful for finance and banking are tools like Arria, MarketMuse, Narrative Science, and Yseop. These can create automated financial summaries, personalized investment reports, and offer tailored insights for customers in the financial and banking industries.

Building Stuff Better: Manufacturing and NLG

NLG can help the manufacturing industry in several ways. It transforms data into easy-to-understand reports, enhances communication, and boosts operational efficiency. For instance, it automates production reports, analyzes data for improvement areas, and presents insights clearly.

In manufacturing, NLG is used to generate real-time performance reports, automate quality control analysis, and offer insights for preventive maintenance. It also creates user manuals and operation guidelines, improving communication and reducing errors.

Implementing NLG can lead to improved efficiency, cost reduction, and better decision-making. However, challenges include initial implementation costs, ensuring data accuracy, and employee resistance. Businesses can assess the volume of data, need for real-time insights, and potential for improved communication and decision-making to decide if NLG is suitable for them.

How Do You Start Using Cool Language-Generating Computers?

Getting Ready: First Steps to Use Natural Language Generation

Natural Language Generation is a type of artificial intelligence. It turns data into language that sounds natural. This helps computers communicate with people using human language. To use NLG, start by taking a hands-on approach to create meaningful stories from unstructured data. This involves computational linguistics, Natural Language Processing (NLP), and Natural Language Understanding.

NLG has a multi-stage process: examining content, understanding data, structuring documents,combining sentences, organizing grammar, and presenting language. Choose an intelligent system to transform business operations and interact with customers. Steps to start using NLG include understanding different approaches like extractive and abstractive, and selecting tools that balance relevancy and interpretability for specific business needs. Consider systems like Arria, Automated Insights, Clickvoyant, and others, and learn from real-world NLG applications.

Finding Your Story: Does NLG Fit Your Needs?

There are three types of Natural Language Generation : Basic NLG, Template-driven NLG, and Advanced NLG.

Basic NLG involves filling in predefined templates with data. Template-driven NLG uses pre-created templates, and Advanced NLG involves using machine learning algorithms to generate language.

NLG works by processing structured and unstructured data to produce natural-sounding written or spoken language.

NLG can help with:

  • Analytics reporting by converting complex data into easy-to-understand reports
  • Content automation by generating language content automatically
  • Virtual assistants & chatbots by interacting with users in human language

In finance & banking, NLG can be used to provide detailed insights and reports. In manufacturing, it can assist with data analysis and customer engagement.

To determine if NLG is the right fit, someone can:

  1. Identify the type of data they have.
  2. Assess the level of interaction with customers needed.
  3. Consider the amount of language content automation required

By doing so, businesses can determine if NLG can effectively enhance their operational efficiency and customer engagement.

Tools and Helpers: Choosing the Best NLG Software

List of Handy NLG Tools

There are many helpful NLG tools available for businesses and professionals. Some of these tools include Arria, Automated Insights, Narrative Science, Drift, and Phrasee. These tools use natural language generation to turn structured and unstructured data into language that sounds human.

NLG software, such as Arria, Automated Insights, Narrative Science, Drift, and Phrasee, can help various industries and applications by making operations more efficient and engaging for customers.

For example, in analytics reporting, NLG tools can change complex data into easy-to-understand reports, speeding up data analysis and decision-making in different industries. In the context of virtual assistants and chatbots, NLG software can improve customer relationships by giving personalized responses and interactions.

Additionally, in finance, banking, and manufacturing, NLG tools can manage customer communications and create content automatically, ultimately improving business processes and customer experiences.

Arria: Makes Numbers Talk

Natural Language Generation is a software process driven by artificial intelligence. It produces natural written or spoken language from structured and unstructured data. NLG helps computers to interact with users in human language rather than in a computer-like way.

NLG can be used for responding to customer input, transforming data into easily understood reports, and improving customer relationships. Businesses can benefit from NLG as it can speed up data analysis, respond to input on behalf of the business, and improve customer relationships. It enhances operational efficiency and customer engagement, making it a valuable tool for various industries such as finance & banking, manufacturing, and analytics reporting.

There are several examples of NLG software and tools that businesses can use. Some of these include Arria, Automated Insights, Clickvoyant, Drift, Exceed.ai, HyperWrite, MarketMuse, Narrative Science, Pencil, Persado, Phrasee, and Yseop. These tools allow businesses to utilize NLG to create natural-sounding language from data, enhancing communication with customers and internal reporting. By providing natural language outputs, these tools can aid companies in improving customer interactions and operational processes.

Automated Insights: Turns Data into Stories

Automated Insights websiteNatural Language Generation is a type of artificial intelligence. It turns data into natural-sounding language. NLG helps computers communicate with users in a human-like way. It involves examining the content, understanding data, organizing documents, creating sentences, and presenting language.

NLG can be used in business to respond to customer input, create easily understood reports from data, and improve customer relationships. It is used in various industries and can enhance efficiency and engagement.

Examples of NLG software include Arria, Clickvoyant, Persado, and Narrative Science. These tools create meaningful stories from unstructured data, tailored to specific business needs.

Narrative Science: Tells Your Data’s Story

Natural Language Generation is a type of artificial intelligence. It helps computers communicate with people in natural-sounding language by converting data. NLG involves data comprehension, document structuring, and grammatical organization. Narrative Science specializes in NLG and assists businesses with analytics reporting and content automation. Their goal is to transform data into easily understood reports and improve customer relationships through natural language responses.

There are several tools and software options available for using NLG, such as Arria, Automated Insights, Clickvoyant, Drift, Exceed.ai, HyperWrite, MarketMuse, Narrative Science, Pencil, Persado, Phrasee, and Yseop. These systems help businesses speed up data analysis, enhance customer relationships, and create meaningful storytelling around unstructured data.

Drift: Robot Chats for Websites

NLG can benefit businesses in different ways:

  1. Speeding up data analysis.
  2. Responding to customer input on behalf of the business.
  3. Improving customer relationships.

When choosing NLG software, take a prescriptive and hands-on approach to create meaningful storytelling around unstructured data. Utilize artificial intelligence to respond to customers and select a brilliant system to transform business operations.

Drift: Robot Chats for Websites allows businesses to interact with website visitors conversationally, offering real-time assistance and personalized interactions. It can enhance customer engagement and streamline customer support, ultimately improving the overall user experience on the company’s website.

Phrasee: Making Words Sell Things

Phrasee helps make words sell things. It uses natural language generation to improve marketing. With NLG, Phrasee creates engaging copy that connects with the audience. This leads to more customer engagement and better campaign performance. Using Phrasee can boost open rates, click-through rates, and conversion rates. NLG in marketing can also create personalized messaging, building stronger customer relationships and brand loyalty.

Phrasee’s NLG can have a big impact on a company’s marketing success, delivering better results and higher ROI.

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