A Practical Guide to AI Text Classification

JD Prater

December 19, 2023

Table of Contents

Have you ever stopped to ponder the sheer volume of text we're immersed in every day? 

Consider the constant stream of emails, Slack messages, social media posts, reviews, and support tickets. For instance, a report by OpenText found that 80% of global workers experience information overload.

Yet, the scale of this data poses a daunting challenge: how can you efficiently process and analyze such a mass of information without getting bogged down? Traditional methods like spreadsheets fall short, and without the right tools, valuable insights remain buried. 

This is where the power of text classification comes into play, acting as a force multiplier for data analysis and enabling the automatic categorization and extraction of meaning from text at an unprecedented scale. By quickly analyzing these reviews, text classification helps extract customer sentiment and preferences, providing invaluable guidance for businesses in refining their strategies and improving services. 

In this post, I’ll explore how text classification is improving the way business users harness the written word for business advantage.

What is Text Classification?

Imagine text classification as being similar to creating your own playlists on Spotify or YouTube. Just as you curate songs into playlists based on genre, mood, or artist, text classification uses sophisticated algorithms to organize vast amounts of text into predefined categories.

text classification with AI

These algorithms, like your music selection skills, learn to recognize and extract patterns—such as sentiment, topics, or even customer intent—from volumes of text. Think of it as categorizing songs into the perfect playlist, but instead, you're sorting customer inquiries, support tickets, and other types of text, making them easily accessible and understandable.

spotify playlists
Spotify categorizes songs into the perfect playlists

You, as the DJ of your data, can use text classification to process and categorize this information with a level of speed and accuracy that's simply not possible manually. While manually sorting through data is time-consuming and prone to errors, akin to handpicking songs one by one for a party, text classification does this efficiently in a fraction of the time.

This approach doesn't just streamline your workflows; it turns the overwhelming volume of daily business text into neatly organized 'playlists', making it easier for you to quickly find the information you need and make informed decisions, keeping your operations agile and informed.

What Can You Do With Text Classification?

In the realm of modern business, text classification stands out as a versatile tool, seamlessly integrating into various operational facets. Its ability to sift through and categorize large volumes of text data is invaluable in enhancing efficiency, decision-making, and customer engagement.

Here are some of the key areas where text classification is making a significant impact:

1. Customer Interaction and Feedback

  • Customer Feedback Analysis: Automatically sorting customer feedback into categories like praise, complaints, or suggestions, text classification helps your team swiftly address concerns and acknowledge positive remarks.
  • Social Media Listening: Track brand mentions across social media, categorizing them into positive, negative, or neutral sentiments, providing real-time insights into public perception.
  • Survey Response Analysis: By categorizing survey responses, you can quickly glean customer opinions and emerging trends, aiding in strategic decision-making.
  • Text Message Analysis: Analyzing SMS messages with text classification provides a deeper understanding of customer engagement levels and feedback.
Survey Response Analysis using Text Classification

2. Product and Market Analysis

  • Customer Feedback Sentiment Analysis: Assessing the tone and sentiment of customer feedback helps businesses understand customer satisfaction and pinpoint areas for product or service improvement.
  • Product Review Classification: Analyzing and categorizing product reviews offers insights into customer perceptions, helping in refining product offerings and marketing strategies.
ai sentiment analysis

3. Communication Management

  • Content Moderation: This technology is adept at filtering out inappropriate or irrelevant user-generated content, maintaining the quality and relevance of online platforms.
  • Categorize Customer Support Tickets: Automatically sort customer queries as they come in to improve response times and operational efficiency.
  • Email Filtering: Moving beyond basic spam filtering, text classification categorizes emails as urgent, follow-up, or informational, streamlining inbox management. You can also sort email responses based on their content and intent.
content moderation with AI

4. Human Resources

  • Document Classification: Organizing various business documents, from internal reports to legal contracts, becomes more manageable with text classification, enhancing accessibility and information management.
  • Resume Screening: HR departments benefit from text classification by quickly identifying the most relevant resumes that match specific job requirements, thereby streamlining the recruitment process.
document classification with ai

The Bottom Line

The application of text classification for business users is a game-changer. By enabling the swift and accurate categorization of text data, you’re empowered to make more informed, data-driven decisions, significantly enhance customer engagement strategies, and optimize overall business efficiency. 

In an era where data is king, text classification is the ace in the hole for teams looking to stay ahead in their respective markets.

Building a Text Classification Solution Without Code or ML Expertise

Building a text classification solution with Graft is akin to creating a personalized playlist, but instead of songs, you're sorting and understanding your data – all without needing to be a ML expert.

Here’s how it's done in simple steps:

1. Start with Your Data 

Think of this as gathering your favorite tracks. You start by uploading or connecting your data to Graft, which forms the basis of your 'data playlist'.

2. Set Up Your Labels (Tags)

Just like categorizing songs into genres, you define labels or 'tags' for your data. If your data includes customer feedback, your labels could be like different music moods – 'positive', 'negative', 'neutral'.

Set Up Your Categories (Labels) in Graft
No labels, no problems. With our Quick Tag app, labeling becomes effortless, saving you both time and resources. All you need is to define a set of label values - these are the categories or tags that Graft will use to classify your dataset. Once set, Graft skillfully parses through your data, predicts and assigns a label for each item. What's more, these freshly minted predictions can serve as input labels for the Custom Predict App, laying the groundwork for building a robust prediction model. It's a seamless process, designed to make your data work for you.

3. Let Graft Work Its Magic 

With your data and labels in place, Graft takes the DJ's seat. It analyzes and sorts your data, much like how a music app categorizes songs into the right playlists based on genre or mood.

4. Test and Tweak Your Playlist

Now, it’s time to listen. Test the classification to ensure it’s sorting your data correctly. If something’s off, you can easily adjust it, just like tweaking a playlist to get the perfect mix.

5. Share Your Playlist

Finally, integrate your newly crafted classification system into your business, just like sharing a playlist. It’s now ready to help you and your team sort and understand your data effortlessly, turning information chaos into harmony.

By following these steps, you create a powerful tool that organizes and makes sense of your data, just like a well-curated playlist brings order and enjoyment to your music collection. No coding or ML expertise required – just a clear vision of how you want to categorize your data, and Graft handles the rest.

In essence, Graft simplifies the complex world of AI, turning it into a user-friendly experience. With Graft, you're not just adopting an innovative tool; you're embracing a change that could redefine how your team interacts with data. 

It’s about making advanced technology accessible and usable for everyone, allowing you to harness the full potential of AI with ease and confidence.

Boost Efficiency and Cost Savings With Text Classification

Text classification offers immense potential to reduce costs and enhance productivity. By automatically categorizing and analyzing text data, businesses can automate previously manual tasks or unlock tasks that were never done before.

  1. Efficiency and Time Savings Text classification revolutionizes how we handle data. By automating the processing of text, businesses can shift from manual, tedious sorting and analysis to a more efficient, AI-driven approach. This not only saves time but also reduces operational costs, freeing up your team to focus on tasks that require human insight and strategic thinking.
  2. Enhanced Customer Insights and Service Imagine having a deeper understanding of your customer's needs and preferences at your fingertips. Text classification sifts through customer feedback and inquiries, categorizing them for easy analysis. This empowers businesses to tailor products and services more precisely and respond to customer concerns swiftly, enhancing satisfaction and loyalty.
  3. Data-Driven Decision Making In the age of information, making informed decisions is key to success. Text classification enables businesses to categorize and analyze data accurately, from market trends to customer feedback, ensuring that every decision is backed by solid data.
  4. Competitive Advantage In a market where speed and agility are paramount, leveraging AI for text classification gives businesses a significant advantage. It allows for rapid adaptation to market changes and opportunities, setting you ahead of competitors who are slower to harness the power of AI.
  5. Scalability As your business grows, so does the volume of data. Text classification scales effortlessly to meet these demands without a proportional increase in resources or costs, making it an ideal solution for growing businesses.
  6. Risk Mitigation In critical areas like content moderation and compliance, text classification serves as a safeguard, quickly identifying potential risks and ensuring adherence to regulations and public sentiment.

Text classification is your tool to harness the power of AI, boosting efficiency, enhancing customer understanding, and supporting smarter decisions. It's your chance to make data a key asset, streamline your processes, and stay competitive.

By adopting text classification, you're not just keeping up with the times; you're opening up new opportunities for success.

Now is the time to act: embrace AI to make the most of your data and give your team a distinct advantage.


Think of machine learning as the process of creating a dynamic, ever-evolving music playlist for your business data. With Graft, this becomes not only possible but surprisingly simple. Just as you might curate a playlist to match your mood or event, Graft enables you to harness powerful AI that learns and adapts from the data you provide, effectively categorizing and classifying it to match your business needs.

Are you ready to be the DJ of your data? Integrating AI into your workflow with Graft is as seamless as adding your favorite song to a Spotify playlist. It empowers you with the capabilities of AI, making your work not only smarter but also more intuitive and insightful.

Build your own text classifier with Graft today. And bring a touch of AI magic to your data!

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Last Updated

February 8, 2024

Further reading

JD Prater

Head of Marketing

JD writes about his experience using and building AI solutions. Outside of work, you'll find him spending time with his family, cycling the backroads of the Santa Cruz mountains, and surfing the local sandbars. Say hi on LinkedIn.

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