Hierarchical Hashtag Tree Generation for Social Media Discoverability
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Solution Overview
Problem
Users often miss adding relevant hashtags to social media content, both directly and indirectly related to the content's subject matter, limiting the content's discoverability on social media platforms.
Innovation Solution
A system that analyzes content to identify its subject matter and generates a hierarchical hashtag tree, including both direct and indirect related words or phrases, which are then automatically added to the content for posting, allowing for enhanced discoverability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually add hashtags to social media content, then the user has control over the tags added, but the user often misses adding relevant hashtags both directly and indirectly related to the content's subject matter
Solution Approach 1:
The system performs automatic hashtag generation and selection without requiring user input beyond the initial content submission. The computer system analyzes the content, generates multiple hashtag options, and automatically selects and adds the most relevant hashtags to the social media content, making the system serve itself rather than requiring continuous user intervention.
Solution Approach 2:
The manual mechanical process of users selecting and adding hashtags is replaced by an automated computer-based system that uses content analysis and hierarchical hashtag tree generation. This substitution eliminates the need for users to manually research and add hashtags while ensuring comprehensive coverage of both direct and indirect relevant topics.
2Productivity
If users add only a few hashtags manually, then the ease of operation is maintained, but the content's discoverability on social media platforms is limited
Solution Approach 1:
The system performs preliminary content analysis and generates a hierarchical hashtag tree before the user needs to post the content. By pre-generating multiple hashtag options organized in a hierarchical structure and automatically selecting the most relevant ones, the system ensures comprehensive hashtag coverage is ready in advance, maximizing discoverability without requiring the user to spend time on research during the posting process.
3Reliability
If a hierarchical hashtag tree with multiple levels is generated, then both direct and indirect related hashtags are captured, but the system complexity increases
Solution Approach 1:
The hashtag generation system is segmented into distinct functional modules: content analysis module, hierarchical hashtag tree generation module, hashtag selection module, and automatic addition module. This segmentation allows each component to perform its specific function independently, making the overall complex system more manageable and maintainable while ensuring comprehensive capture of both direct and indirect hashtag relationships through the hierarchical structure.
Data Source
AI summary
Embodiments of the present invention disclose a method, computer program product, and system for generating hashtags. The method comprises receiving content to be posted on a social media service and analyzing the content to identify at least one item included in the content. Generating a first hashtag tree, wherein the content of the first hashtag tree contains information that indirectly relates to the identified at least one item, wherein the first hierarchical hashtag tree is comprised of multiple levels, wherein the first hierarchical hashtag tree includes words or phrases indirectly relates to the identified at least one item. Generating at least one hashtag from the first hierarchical hashtag tree and adding the at least one hashtag to the content and posting the content and the added at least one hashtag to the social media service, wherein the at least one hashtag is automatically added.