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2. Charset detection - Wikipedia

   en.wikipedia.org/wiki/Charset_detection

   Character encoding detection, charset detection, or code page detection is the process of heuristically guessing the character encoding of a series of bytes that represent text. The technique is recognised to be unreliable [ 1 ] and is only used when specific metadata , such as a HTTP Content-Type: header is either not available, or is assumed ...

3. Artificial intelligence content detection - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence...

   Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI).. However, the reliability of such software is a topic of debate, [1] and there are concerns about the potential misapplication of AI detection software by educators.

4. Content similarity detection - Wikipedia

   en.wikipedia.org/wiki/Content_similarity_detection

   Systems for text similarity detection implement one of two generic detection approaches, one being external, the other being intrinsic. [5] External detection systems compare a suspicious document with a reference collection, which is a set of documents assumed to be genuine. [6]

5. Turnitin - Wikipedia

   en.wikipedia.org/wiki/Turnitin

   Another study [37] showed that Turnitin failed to detect text produced by popular free Internet-based paraphrasing tools. Besides, more sophisticated machine learning techniques, such as automated paraphrasing , can produce natural and expressive text, which is virtually impossible for Turnitin to detect.

6. Undetectable.ai - Wikipedia

   en.wikipedia.org/wiki/Undetectable.ai

   Undetectable AI (or Undetectable.ai) is an artificial intelligence content detection and modification software designed to identify and alter artificially generated text, such as that produced by large language models. [1] [2] [3]

7. Sentiment analysis - Wikipedia

   en.wikipedia.org/wiki/Sentiment_analysis

   Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.