We want to integrate sentiment analysis into the project to automatically assess the emotional tone of user-submitted content. This feature will help determine whether the content carries a positive, negative, or neutral sentiment, allowing for better content moderation, user feedback, and overall engagement. Here in this context:
Positive: Refers to those issues and discussions which are related to development of the FOSS project
Neutral: Refers to those issues and community discussions relevant to the project but not directly to contribution or development, can be use case issues, doubts, troubleshooting etc
Negative: Spam
Target
Implement sentiment analysis for processing user-submitted content.
Categorize content as positive, negative, or neutral based on sentiment scores.
Use sentiment data to enhance moderation workflows (e.g., flagging highly negative content).
Provide summary sentiment reports for aggregated content if needed (e.g., for overall user sentiment trends).
We want to integrate sentiment analysis into the project to automatically assess the emotional tone of user-submitted content. This feature will help determine whether the content carries a positive, negative, or neutral sentiment, allowing for better content moderation, user feedback, and overall engagement. Here in this context:
Target