All Collections
Custom themes
Common use cases for Custom Themes
Common use cases for Custom Themes
Trish Pencarska avatar
Written by Trish Pencarska
Updated over a week ago

Custom Themes is a key feature for those customers who are seeking to analyze industry-specific language. It allows for more accurate topic detection for improved efficiency in turning your text data into reportable insights.

In this article, you'll find advice on:

Common use cases

Getting more accurate results for your specialized vocabulary without workarounds

Most people would associate 'seats' with furniture and that’s how they would appear on our list of pre-defined topics. However, 'seats' are a part of the rolling stock for a train operator, so using Custom Themes, the Insight Analysts working within the rail industry can now categorize them accordingly.

Setting your own groupings in order to get the measurable metrics from your text data

An organization used to manually tag and analyze customer feedback comments, which was time-consuming and prone to errors.

With Custom Themes, based on their own set of categories, they can now quickly see the frequency of certain comments and split data based on positive vs. negative drivers. This has allowed them to provide more accurate and timely reports and identify areas for improvement.

How can you apply it?

Within market research, political analysts often encounter challenges in accurately categorizing and analyzing vast amounts of political discourse and public sentiment. Traditional methods of manual tagging and analysis can be time-consuming and prone to errors, hindering the timely identification of emerging trends and public opinion shifts.

With Custom Themes, political analysts can create their own set of categories and groupings to effectively analyze text data related to political discussions, speeches, news articles, and social media posts. By defining themes specific to political domains, analysts can extract valuable insights and measurable metrics from the text data.

For example, political analysts could create themes such as 'Economic Policy,' 'Environmental Issues,' 'Foreign Relations,' or 'Social Welfare.' They can then apply these themes to the text data and quickly identify the frequency of specific topics and sentiments expressed within each category.

By leveraging Custom Themes, analysts can efficiently track public opinion on various political issues, identify key influencers, detect emerging political trends, and monitor sentiment shifts over time. This enables them to provide more accurate and timely reports to political leaders, policymakers, and decision-makers, ultimately facilitating informed decision-making and enhancing political strategies.

Custom Themes in action

Market research specialists Path explain how they used Custom Themes to deliver more precise reports to their clients and quantify their text-based data.

Did this answer your question?