mailgun/talon

More granular message / signature parts classification

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#63 创建于 2015年10月9日

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 (0 评论) (0 反应) (0 负责人)Python (1,220 star) (283 fork)batch import
enhancementhelp wanted

描述

The algo would be more accurate if the classification is more detailed. E.g. if it classifies message greeting there could be a sanity check saying that signature can't go right after a greeting.

Similarly if a closing phrase (e.g. "Kind Regards,", "Thanks,", etc) is detected in signature candidate lines we could say for sure that it should be the first signature line.

Another example - disclaimers. Some messages have them and that totally breaks signature detection logic.

贡献者指南

技术栈
python
领域
backend
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
1-2 days
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
mostly clear
前置要求
Pythonunderstanding of email structure
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
30
研究方向
Investigate the current signature detection algorithm in the repository. The issue suggests adding more granular classification of message parts (e.g., greeting, closing, disclaimer) to improve accuracy. Look for the existing classification logic, likely in a module like 'signature.py', and propose a more detailed categorization. Consider edge cases like disclaimers and ensure the new classification integrates with existing sanity checks.