Custom Text Classification in SmartReader
Text classification is the process of assigning a set of predefined categories or tags to open-ended text. It is an important and fundamental part of Natural Language Processing with large applications like emotion analysis, sentiment analysis, labeling, etc. Text classification can be used for various purposes such as auto-tagging customer queries, understanding the sentiment of the audience from social media, categorizing articles, blogs into defined topics, etc.
Nowadays, many companies are leveraging text classification with machine learning because of its scalability and real-time analysis of unstructured data. The messy nature of the text make it extremely difficult for companies to analyze, understand, and sort data of that scale.
According to IBM, “it is estimated that 80% of the world’s data is unstructured, but businesses are only able to gain visibility into a portion of that data. Because it is hard to understand and find meaning in data that is text-heavy, companies have a difficult time creating insights that could ultimately shape decisions that are made within a company.“
This is where text classification comes in. It allows companies to save time, automates business processes, and help take informed business decisions.
Custom Text Classification (CTC) in SmartReader
SmartReader is a simplified Excel based SaaS solution at ParallelDots that automatically analyzes the open-ended customer responses. The custom text classifier analyzes rows of text and categorizes each row into the key themes. These key themes are curated based on a word-by-word understanding of the AI from your data.
A step-by-step guide for using CTC in SmartReader
Follow these simple steps to use Custom Text Classification in SmartReader.
Step 1: Log in to your ParallelDots account. If you do not have an account, sign up on the SmartReader platform free of cost and then login.
Step 2: Once you are logged in, you’ll see your custom dashboard. To start a new project, click on the “Create new project” button on the top left corner of the dashboard.
Step 3: Write your project name and choose “CTC (Custom Text Classifier)” from the insights section.
Select the language of your data.
Then, select the file format of your data. (.xlx/ .xlsx/ .csv)
Finally, from the drop-down menu, select the data that you want to analyze, upload your file. and start the analysis.
Step 4: Once you finish uploading your spreadsheet, the AI behind SmartReader starts learning from your data. This process takes several minutes because SmartReader is going through all your data word by word and learning different concepts from it. Feel free to minimize or close the tab and continue your work.
Step 5: Once this is done, you’ll be redirected to your dashboard where you will see the results of the analysis.
Since you have selected Custom Text Classification (CTC), your dashboard will display the automatically detected key themes and descriptors. You can adjust these themes according to your use case.
Click on the green “Analyze” button to get the AI engine purring. Then, in the analysis section select “get results in csv” and select “Yes” on the prompt to send your complete data under classification.
Finally, Download your results by clicking the blue “Download Results” button
Click on the “view statistics” button to see the complete statistics of your analysis.
In case you select other insights (sentiment, emotion, keyword) along with CTC, you’ll get to see their statistics as well.
Why SmartReader
SmartReader is a flexible, DIY tool that businesses can use for analyzing open-ended textual data. The tool learns from your data and suggests relevant themes emerging from it, and is fully customizable. It allows you to download and analyze the data from the comfort of your spreadsheet.
Click here to read more about SmartReader.
We hope you liked the blog. Please Sign Up for a free ParallelDots account to start your AI journey now. Create your own classification model with SmartReader and discover interesting insights from your customers’ voice. You can also check out free demos of ParallelDots AI APIs here.
