Text analysis helps detect critical issues automatically and in real time, so you can act right away and prevent them from escalating. It doesn’t matter how much data you have either you can easily scale these tools up or down without having to worry about how long it’s going to take you.
Instead of reading rows of text data in Excel, you can run text analysis tools on your data and gain insights in a matter of minutes. Let’s take a look at some of the overall benefits of text analysis: Text analysis tools can drastically speed up this process, making it easier than ever to detect trends and insights from text data on the go. Gathering this data in an Excel spreadsheet, analyzing it and attempting to obtain insights from text is time-consuming, inaccurate, and ineffective. Think about how many emails, chats, tweets, survey responses, product reviews and support tickets you receive on a daily basis. You can perform different text analysis techniques, such as identifying the sentiment behind survey responses, detecting urgency in customer support tickets, or discovering the most common expressions or words in social media mentions. A text analysis model can read and understand text in an Excel spreadsheet, and structures it automatically.ĪI techniques machine learning and natural language processing enable text analysis tools to automatically understand, process, and detect words and expressions and categorize them. Text analysis, also called text mining or textual analysis, is the automated process of classifying and extracting text data using AI.
How to Use Text Analysis Tools in Excel.Let’s dig into the following topics so you can get started with text analysis in Excel: What words or expressions do customers use to describe your brand?.What issues do you need to address right away?.How many positive mentions do you get on social media?.What do customers like and dislike about your product?.In this guide, discover a step-by-step tutorial on how to use text analysis to analyze your Excel spreadsheets, and start gaining insights that answer questions like: Run text analysis techniques, like sentiment analysis, topic detection, keyword extraction, and more, and get the information you need to make data-driven decisions.
Using text analysis, you can automatically analyze your Excel text data, and skip themonotonous and time-consuming manual processes. It contains a wealth of insights, but reading and analyzing all this unstructured data in your Excel spreadsheets takes far too long. You also need to dive into the huge amounts of unstructured data created every day (open-ended survey responses, social media comments, emails, chats, product reviews, etc). If you want to understand the voice of the customer, you’ll need to delve into customer feedback to gain insights that help drive your business forward.īut crunching just the numbers doesn’t cut it anymore. ‘Insight’ is a word we often hear when running data analysis.