Text classification covers a wide range of applications, for example, you can identify the topic of a given text, its sentiment or intent, and even its language Topic Analysis
Text classification is the process of tagging pieces of text by category depending on their content. Let’s go through your text analysis options: Text Classification This will mainly depend on the insights you hope to reveal.
Now that you know the main benefits of using text analysis, you may be wondering what kinds of analysis you can run. Text analysis uses just one set of rules (unlike humans) – machine learning tools apply only the criteria you use to train them, making them consistent and accurate.
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.