isspam

T

retoor bbe721b620 feat: add initial project structure with spam detection tool and supporting libraries

Add the complete source tree for the isspam spam detection utility, including the main C implementation (isspam.c), custom memory allocator (rmalloc.h), string builder (rstr.h), dynamic string list (rstring_list.h), build configuration (Makefile, .clang-format), CI workflow (.gitea/workflows/build.yaml), and sample test data (spam/examole_spam3.txt, not_spam/correct1.txt). The core logic defines a list of forbidden words and provides functions for tokenizing input, removing preserved characters, and checking content against the spam keyword set.

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.gitea/workflows

feat: add initial project structure with spam detection tool and supporting libraries

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not_spam

feat: add initial project structure with spam detection tool and supporting libraries

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spam

feat: add initial project structure with spam detection tool and supporting libraries

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.clang-format

feat: add initial project structure with spam detection tool and supporting libraries

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.gitignore

feat: add initial project structure with spam detection tool and supporting libraries

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isspam

feat: add initial project structure with spam detection tool and supporting libraries

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isspam.c

feat: add initial project structure with spam detection tool and supporting libraries

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Makefile

feat: add initial project structure with spam detection tool and supporting libraries

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README.md

feat: add initial project structure with spam detection tool and supporting libraries

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rmalloc.h

feat: add initial project structure with spam detection tool and supporting libraries

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rstr.h

feat: add initial project structure with spam detection tool and supporting libraries

2024-11-28 17:39:34 +00:00

rstring_list.h

feat: add initial project structure with spam detection tool and supporting libraries

2024-11-28 17:39:34 +00:00

README.md

The file is empty.

For a site I was doing spam analysis, how to recognize it. I do this by checking how it is written. How much numbers are used. How many capitals. That's the first indication. I made it originally myself but a few people liked the project and wrote their versions in their preferred language. Very happy about that. We are bench marking it as challenge, the benchmark is doing analysis for 900 books in txt format. The fastest application wins. By now, every language has as wel won as lost. We keep iterating and making them faster. Thanks 12bitloat, BordedDev en JestDotty for contribution of their source.

Readme

486 MiB