Do you own an NPL Project? Are you having issues earning profit with the API? Don’t worry, though, because the team of experts in charge of this API marketplace will be in charge of assisting you in making money from that API. To ensure that you don’t miss any information, read this post entirely.
Natural Language Processing is the area of study focused on how computers understand, interpret and process human language. It is a complex field in which different disciplines such as Artificial Intelligence (AI), big data, or linguistics come into play. The big challenge? For machines to be able to understand what a text really says, including ironies, idioms, or jokes… and not only in English.
What are the use cases for NLP in business?
Businesses use NLP software and tools to simplify, automate and streamline operations efficiently and accurately. Some example use cases are listed below.
Confidential Information Redaction
Companies in the insurance, legal and healthcare industries process, classify and retrieve large volumes of confidential documents, such as medical records, financial data and private data. Instead of doing a manual review, companies use NLP technology to redact personally identifiable information and protect sensitive data. For example, Chisel AI helps insurance companies extract policy numbers, expiration dates and other personal attributes of customers from unstructured documents with Amazon Comprehend.
Interacting with customers
NLP technologies enable chat and voice bots to be more human-like when conversing with customers. Companies use chatbots to scale capacity and customer service quality while keeping operational costs to a minimum. PubNub, which creates chatbot software, uses Amazon Comprehend to introduce localized chat functionality for its global customers. T-Mobile uses NLP to identify specific keywords in customer text messages and provide personalized recommendations. Oklahoma State University implements a question-and-answer chatbot solution to address student questions using machine learning (ML) technology.
Business analytics
Marketers use NLP tools such as Amazon Comprehend and Amazon Lex to gain informed insights into how customers feel about a company’s products or services. By searching for specific phrases, they can assess customer moods and emotions in written comments. For example, Success KPI provides natural language processing solutions that help companies focus on specific areas of sentiment analysis and help contact centers gain actionable insights from call analytics.
It was just a matter of time before APIs entered the Natural Language Processing, or NLP, sector because they are present everywhere. Many API providers have made the same decision to develop an API as you have. Sadly, a lot of them might be struggling to make money from their API. But don’t worry, you won’t have that issue any longer if you use the service provided by Zyla API Hub. We vouch for the excellence of this API monetization platform!
Check Zyla API Hub to publish your NLP API
Zyla API Hub is highly recommended and the reason is simple, the growth that this API sales platform is having is unimaginable! Currently, hundreds of API providers are already enjoying having their APIs monetized. You cannot miss this opportunity offered by this platform! It’s important to start asap with Zyla API Hub!
It is simple to understand why Zyla API Hub has been so successful. They will be pleased with the service if you offer both the client and the API provider exceptional customer service. First of all, you should be aware that an IT team will test your NLP API before it is made public. Since this team has years of experience with APIs, they can identify any issues or recommend potential fixes right away. The marketing team will be responsible for two tasks.
The first is related to cost. Without a doubt, your API won’t be able to be sold if it is priced too much. Customers will pick the less expensive rival. On the other hand, a highly inexpensive API might make customers suspicious. As a result, it’s important to conduct a market analysis and decide on a reasonable price. The marketing department will carry out this. It will also carry out SEO curation as another duty. This will enable your API to rank among the top Google search results by utilizing specific algorithms!
Also published on Medium.