Text Analytics: Deception Detection and Gender Identification from Text
Deception is falsification of information. Detecting deception from text is a challenging problem. Deceptive text content, for example, may be found in social networking sites, emails scams, email phishing, blogs, chat rooms, etc. Our approach uses a combination of psychology, linguistics and statistical analysis to detect deception. Try it! We do not capture any personal information. The text your enter will be stored for further research.
Click the text files below to see examples of deceptive text content:
| Example Description | FileName | Deceptive Cue | Too High? |
|---|---|---|---|
| Deceptive Example 1 | employment.txt | article | too low |
| Deceptive Example 2 | Gates.txt | you | too high |
| Deceptive Example 3 | nigerian.txt | sixltr | too high |
| Deceptive Example 4 | rental.txt | swear | too low |
| Deceptive Example 6 | obama.txt | I | too low |
| Canada Tax Revenue Scam | letter.txt | othref | too high |
Click on the link below to See Scam Examples From Craigslist:
Craigslist scam examples
Determine deceptiveness of text content By Entering Your Own Text,Uploading A File Or Entering the Website URL:
Enter Your Own Text To Detect Deceptive Content
Upload file to detect deceptive content
Determine Deceptiveness of Web URL
Determine the Gender of An Existing File:
Determine gender of author of text (upload file)
Enter text to determine author's gender