Resampling Summarizer for Social Media
Simply resample the social stream, using the auto-summarization algorithm as resampling function.
Today, we have pretty good summarization algorithms for text (for example, sumy). The social network messages are simply rows of our database. Take equidistant time intervals, and summarize the text of many posts of the chatty people, as one post (in chosen intervals of time, e.g., daily), and leave those rarer posts unsummarised.
+[項目]
顯然，有人在做相關的事情:: “Facebook 很快將允許您將多個帖子合併爲一個故事”，或者他們可能是跟隨無限？只需應用 LDA，這是一件非常簡單的事情。
Apparently, someone's working on something related:: "Facebook will soon allow you to combine multiple posts into one story", or maybe they are following Infinity? Just apply LDA, such a simple thing to do.
關於改善社交媒體時間表共享的許多想法：
1.在其他人的時間軸上的時間粘性帖子，與海報尚未發佈的時間成比例...（即，填寫關注時間積分）
2.如果單個海報中的帖子太多，且時間緊迫，則按時間範圍自動合併帖子。
3.使用文本摘要程序來合併帖子（例如gensim / LDA）。
4.限制每個用戶在每個時間範圍內的帖子數量（即緩慢的發推文）。
5.按主題過濾來自朋友的帖子，例如，僅閱讀數學帖子，而不閱讀烹飪帖子。
Many ideas on improving social media time-line sharing: