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Method to filter out objective statements (or say facts)

Data Science Asked on June 26, 2021

I have millions of lines of statements containing both subjective (like I prefer the red skirt) and objective (Washington was born on February 22, 1732) statements or opinions. How can I separate them? Not manually.

By "objective", I mean if the object or predicative of the sentence changed, it would be in conflict with the truth. For illustration, in "She prefer red skirt.", if we change "red" or "skirt", the (new) statement would remain right, which can not apply to statements like "Washington was born on February 22, 2016".

The statements which should be pushed out:

  1. Washington was born on February 22, 1732
  2. Washington was born on February 21, 1731
  3. Obama was born on February 22, 1732
  4. Nobody A was born on February 22, 2016
  5. Red is blue
  6. Color is a day
  7. I’m a robot
  8. You are a person

Statements which should be kept:

  1. I like coffee
  2. Red is my favorite color
  3. I hate him
  4. You are awesome
  5. You are clever
  6. I was born years ago
  7. You are very old
  8. Tomorrow will be better

2 Answers

There isn't really an "objective" statement.

In your example: what if he wasn't born that day? Same statement, but is it still objective?

You may assume that "1 + 1 = 2" is an objective statement. But what if I'm doing binary math, and 1+1=0 then? So even that is subjective.

How would a machine tell apart these things, where philosophers will disagree with each other?

All you can do is provide training data examples of "your" (subjective) idea of objectiveness.

Answered by Has QUIT--Anony-Mousse on June 26, 2021

I was looking for some sentiment datasets when I encountered a so-called subjectivity analysis on this page. I thought what I meant can be found in this paper.

Answered by Lerner Zhang on June 26, 2021

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