data-mining 6

What is the most frequently occurring sentence in Wikipedia? ANS: A 213-word paragraph about how minor planets are named, which appears in 418 Wikipedia articles, word-for-word! There are ~380,000 asteroids. Wikipedia has 418 pages for these - including one for each thousand-range of asteroids. Every single one of these pages includes the phrase: As minor planet discoveries are confirmed, they are given a permanent number by the IAU’s Minor Planet Center (MPC), and the discoverers can then submit names for them, following the IAU’s naming conventions. The list below concerns those minor planets in the specified number-range that have received names, and explains the meanings of those names. ...

Summarize a WhatsApp thread from https://tools.s-anand.net/whatsappscraper/ | whatsappthread.jq Analyze the attached WhatsApp messages and share your results by writing ONLY these 3 sections: - **Topics**. For each of the 20 most active topics, write a paragraph mentioning: - Start date (e.g. 13 Sep 2025) - Who discussed what - Quote where relevant - **Network**. Build a conversation graph of people exploring centrality, bridges, and topic-seeding scores. Summarize key insights as a paragraph each. - **People**. For each of the 20 most active people, write in a paragraph about any of the below that you can infer with confidence: - persona - topics/interests - roles in network - notable habits (e.g. active times - converting to guessed local time, style of writing, etc.) - blindspots (things they might not be aware of that or missed others mention or hint at, based on the actual conversations - not just metrics) Write in active voice, simple words, and conversational style for an 8th grader. Bold **people** and **key phrases** to help scanning. Attachment has WhatsApp messages as NDJSON with fields: .id, .chat_id, .ts, .type, .author.{name,phone}, .text_raw, .reply_to.{author,phone,text}, .reply_to_id, .thread_id, .urls[] Context: ...

Finding subversives using Amazon wishlists.

An information civil rights organization has data mined an NSA mailing list. The first chapter is online. The graphs are interesting.

Wal Mart mines 460 terabytes of data.

The Oracle of Google is the coolest Google app so far. Ask it a question with 4 choices, and it uses Google to guess the answer. It knows that Abdul Kalam is India’s President, though it did prefer Vajpayee to former Presidents. via Google Weblog