What is Topic Analysis?
Topic analysis is a text analysis method that allows you to identify and distinguish various topics present in a collection of internet mentions. It enables the analysis of hundreds or even thousands of articles, social media posts, or comments, which would be impossible with traditional manual analysis.
Using appropriate AI algorithms, it is easy (or not ;) ) to identify and extract topics, keywords, and emotions related to a particular subject. This makes it more convenient to track:
which topics are the most popular and important in the context of your project,
which words and phrases are most commonly used,
what emotions are associated with a given topic.
Why would I need it?
By using topic analysis, you can, for example:
track the most important trends in the industry,
see what problems are affecting your customers,
analyze what their (customers) expectations are for your company.
This allows you to tailor marketing and PR activities to your customers' needs and propose solutions that meet those needs.
Additionally, topic analysis allows you to monitor the most important communication channels based on the categories in which a particular topic is discussed. This enables you to adapt your PR activities to the preferences of your audience and utilize the channels that are most important to them.
And what's inside?
You will find Topic Analysis in the main menu. Choose the project you want to measure, and click on Topic Analysis:
Here begins the fun part.
We tried to cover as much data as possible here in Topic Analysis. That is why you will find all sorts of information that can benefit you and your company. Here's what's inside:
Top Mentions: Showcases influential posts highlighting the most impactful comments about the topic.
Most Important Phrases: Presents a word cloud of key terms frequently associated with the topic, providing insight into common themes and keywords.
Occurrences: A line graph showing the frequency of mentions over time, helping to identify trends and peaks in discussion.
Categories Share: This section displays a pie chart of the various categories that the topic falls into, offering a breakdown of the content types.
Sentiment Share: This provides a pie chart indicating the proportion of positive, negative, and neutral sentiments, which is essential for understanding overall public perception.
Intents Share: Shows the distribution of different intents behind the mentions, such as complaints or recommendations.
Emotions Share: Uses a pie chart to illustrate the emotional tone of the mentions, such as joy or anger.
Share of Voice: This section offers a pie chart comparing the topic’s presence relative to other topics, indicating its dominance in conversations.
Emoji Analysis: Visualizes the most commonly used emojis in the discussions, giving a quick sense of the emotional context and engagement level.
Availability
This feature is available for our Pro and Enterprise customers. If you want to upgrade, here's where you can do it: