Building A GPT-3 Twitter Sentiment Analysis Product
We’re going to walk through building a production level twitter sentiment analysis classifier using GPT-3 with the popular tweet dataset Sentiment140.
If you’ve ever bought something from Amazon, Etsy, eBay, or another huge online retailer, you’ve already experienced how ai and machine learning can transform buying online. What you can’t see is how these businesses use these same tools to create backend data capture services that gather high ROI data for them that pushes their business forward.
It doesn’t take Facebook, Twitter, or LinkedIn long to figure out what you’re interested in based on your location, occupation, or what you search for online, either. New smartphone? Local yoga classes? Restaurants in your area? You’ll start seeing paid and pop-up ads before too long after you’ve done a search for something.
AI gives e-commerce companies the ability to quickly and easily make new recommendations based on things like hotjar heatmaps, what keywords you liked, or what facebook pages you like. Or how a SaaS platform can increase conversions by using a deep learning model to optimize it’s funnel, and while it's important to businesses to use these tools in the real time moment, an added benefit of machine learning or AI models is the long term data collection services they include.
What you don't see as a front end customer or user is the benefit of how these ai tools are used to capture more data to improve the company's future performance. What the most explosive growing companies are realizing is deep data collected from machine learning and ai tools is incredibly useful and powerful. The insights these tools can see and collect are difficult to gather through conventional methods, which gives these companies a serious edge on the competition.
As top of the line companies continue to move towards being data driven and automated business processes, the extra data collected from use of these tools can be as beneficial as the actual tool itself, especially given the data captured can normally be plugged back into the model to optimize and increase performance.
Today’s companies need to know more than just the bottom line. Marketing is more than just a catchy slogan. Companies need to know who’s buying their products or services, why, where, and what they want--or don’t want. Data collection services for information on customers, users, and in some cases, employees can be vital to a company’s survival.
Collecting company data is capturing previous events in order to find recurring patterns. With data, the next step is to build predictive models with machine learning algorithms that use those trends to forecast future activity.
These models are only as good as the data used to build them, so it’s important to start with the correct and relevant data.
But there is more to it than just collecting company data. Effective use of data goes a long way in making business decisions like marketing, performance, and problem-solving. Collecting and analysis of your company’s data can also help you understand your customers better, as well as improve efficiency and processes.
Small and medium-sized businesses can use even their basic data from their social media and websites to learn about:
It’s also important to focus on high-quality data, rather than just gathering data for the sake of it. For instance, high-quality data can indicate the marketing campaigns your customers respond to best, allowing your company to tailor those campaigns accordingly. It’s important to understand the data, and not become lost in it. The right tools can help you understand your company’s data so you can use it to your advantage.
The right data can also better define your buyer’s persona, their favorite products, and a better idea of their trip through your sales funnel. You’ll be able to fine-tune their journey and give them more incentive to convert.
Automated data capture (ADC) is the collection of data that helps speed up the organization and use of the information your company needs. Adding automated data capture tools eliminates the rote work of manual entry frees up employees to focus on customer service and reduces labor costs. Most of the time you can take systems that are already using data and collect higher ROI data as a result of your models.
There are several models that are perfect to collect data automatically as they work, including:
Any one of these methods can gather great image or integer data for your company. Combining two or more can help you build a bigger database for future models or analytics.
Of course, personal and transactional data are essential parts of a company’s customer list. At first, a name and email address are all that’s necessary until someone converts and makes a purchase. At that point, you’ll need a mailing address.
Keeping transactional data is also important. It’s not only important to know what a customer bought, but when. Are they only shopping with you around the holidays? How often do they buy from you? This kind of information can help you tailor offers to each customer the way Amazon does, but not intrusively.
Other data, such as demographics, can be obtained later, and over time. Information such as:
On the flip side, it’s important not to ask for too much customer data at once, or overwhelm them with emails or other contacts.
These data points can help you build your basic profile for each customer as well as develop your customer persona. With a good CRM, all your customer data can be kept in one place and ready for whomever needs it, and get in touch with them whenever you like.
It’s always interesting to think about new ways to use ML to increase efficiency and create better outcomes in business. Turning over repetitive rote work to an ai system means more human capital dedicated to the hands-on work that machines can’t do.
So what models can you employ that collect data in place of humans, and make the data easier to use? Some of the most popular tools businesses use include:
Nearly every industry can benefit from using AI, machine learning, and data collection services.
Retail is the obvious choice since it’s one of the fastest industries to respond to trends. Chatbots can begin the conversation and quickly increase the amount of data gathered from each customer. Capturing data such as buyer intent
AI also helps manufacturing respond to trends as well as improve efficiency in operations. Involving your data capture services in things like inventory management forecasting,
Transcription companies are increasingly utilizing AI and machine learning to transcribe audio files better and faster than before. Automated transcription software can give as much as 95% accuracy, making editing faster and easier.
In the age of COVID, AI can quickly process data to help healthcare practitioners decide on the best care for each individual patient based on their medical history, symptoms, and other factors, which allows you to build a data capture service that works in real time.
AI is also transforming medical transcription. Last year, Amazon introduced its Medical Transcription Services to give doctors an easier and paper-free way to add notes and consultations to a patient’s records.
Many doctors still spend as much as six hours a day handling administrative work such as entering information into electronic health records. Amazon’s service allows physicians to dictate their notes and reports directly into the health record system without any human intervention. Using a service like Amazon’s can give physicians and other healthcare practitioners more time for taking care of patients.
Data capturing can also help banks and other financial institutions detect fraudulent transactions before they drain a customer’s bank accounts. It’s particularly helpful for detecting elder financial abuse both by the financial institutions and for an elder’s family member. Unusual checks or withdrawals, new co-signers added to accounts, and other activity that can indicate fraud or abuse can be detected much faster, and alert the bank and/or relatives immediately.
Width.ai is a machine learning consulting company that builds machine learning and AI software tools in house to accelerate your company’s efficiency and positively impact your bottom line.
Our company specializes in natural language and computer vision systems that give businesses a better understanding of their revenue streams and building tools to make them more profitable. Using our data collection services, we can help you capture important data and put it to good use no matter what industry your company is in.
If you’d like to find out more about what our data capture services can do for your business, contact us today. We’ll be happy to discuss how to incorporate AI and machine learning into your business to increase efficiency and profitability. Want to see other data capture solutions?
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