Use Case: Discover, Connect, and Understand Recurrent Themes
Themes Classification is a formidable ally for event professionals. Its Theme Classification feature enables users to identify and assess recurrent themes in event feedback, conversations, and content, providing a streamlined approach to understanding event themes and how they interact.
How to Use Spark to discover, connect, and understand recurrent themes for your events.
Follow these step-by-step instructions:
| Field | Ideal Input | Impact on Output |
|---|---|---|
| Input Type | Text, Links, or Files | Determines the data source for analysis. |
| Analysis Type | Choose from the listed options based on need | Tailors the output to focus on chosen strategic angles. |
Input Type
1. Text Input
Simply enter or paste the text you wish to Discover, Connect, and Understand Recurrent Themes.
| Field | Ideal Input | Impact on Output |
|---|---|---|
| Text Input | A few paragraphs or bullet points summarizing key ideas, statistics, or announcements | Spark will analyze the text to identify and assess recurrent themes in event |
2. URL Input
Enter the URL of a blog post, article, or other content you want to repurpose into a LinkedIn post.
| Field | Ideal Input | Impact on Output |
|---|---|---|
| URL Input | A blog post or article link | Spark will analyse the content behind the URL and distill the key facts, statistics, and points. |
| URL Input | Video URL | Analyses video transcript to identify key points. |
Spark will summarize the main ideas from the URL into a compelling post for your LinkedIn audience. You can provide guidance on which points to focus on or exclude.
3. File Upload
Upload a document file such as a report, presentation, or other content you wish to Discover, Connect, and Understand Recurrent Themes.
| Field | Ideal Input | Impact on Output |
|---|---|---|
| File Upload | PDFs, PPTs, Word doc, etc | Spark will extract key points and statistics from the file to create an engaging post. |
| File Upload | Video | Analyses video transcript to identify key points. |
| File Upload | Audio | Analyses audio to identify key points. |
Types of file formats spark supports - MP4, WEBM, QT, AAC, AC3, AIFF, FLAC, MP3, OGA, M4A, WAV, PDF, DOC, RTF, DOCX, CSV, TXT, XLS, XLSX.
Choose Analysis Type
Select the type of analysis you require from the following options:
- Theme Clusters: Identify and assess recurring themes
- This option involves the process of pinpointing and evaluating persistent concepts that arise within a set of data or content. This requires vigilant analysis to identify patterns or repeated subjects that could hold significance.
- Topic Relationship: Map interconnections among themes
- This process where these identified themes are explored in relation to one another. This mapping out of how different themes interact or influence each other helps in constructing a comprehensive understanding of the subject matter.
- Idea Synthesis: Combine themes into actionable ideas
- "Idea Synthesis," is centered around the transformation of these interconnected themes into coherent and practical ideas.
- Action Points: Align recurrent themes with long-term goals
- Action Points are about strategically aligning the synthesized ideas with overarching long-term objectives. This ensures that the ideas not only resonate with the recurrent themes but also contribute to the progression towards the broader goals that have been set.
After choosing the analysis type, click “Run Task”. Spark will start its job to generate the output.
Interacting with the Generated Output
Upon completion of the analysis, the tool provides a visualization of theme clusters.
- To refine analysis, you can:
- Adjust the relevancy threshold.
- Exclude certain terms or themes.
Example modification request:
"I noticed 'sustainability' and 'green technology' in separate clusters. Can you combine them into a single theme for a focused analysis on eco-friendly initiatives?"
Troubleshooting and FAQs
Troubleshooting Tips:
- Issue: Themes do not accurately reflect the event's content.
- Solution: Ensure the data input is event-specific and free of irrelevant information.
- Issue: Overlapping themes.
- Solution: Use keyword exclusion to separate themes, or adjust the clustering parameters.
FAQs:
Q: How can I improve the specificity of the theme clusters?
A: Provide more detailed and focused raw text or files for accurate theme identification.
Q: Can I analyze feedback from multiple events at once?
A: Yes, you can input data from several events to uncover overarching themes.
Q: How do I align the identified themes with our event goals?
A: Utilize the 'Action Points' feature to map the recurrent themes to your strategic objectives.
Q: Can I save my analysis?
A: Yes, you can save and export your analysis for future reference or to share with colleagues.
By employing Spark's Themes Classification for theme cluster analysis, event professionals can gain a deeper understanding of their audience's interests and preferences. This aids in crafting events that resonate more strongly with attendees, ultimately leading to greater success and satisfaction.