From d4f1b9121cd9e509a6483d48f6b8ebb85c822d4b Mon Sep 17 00:00:00 2001 From: Umputun Date: Thu, 7 Dec 2023 01:10:10 -0600 Subject: [PATCH] regen site page --- site/docs/index.md | 27 ++++++++++++++------------- 1 file changed, 14 insertions(+), 13 deletions(-) diff --git a/site/docs/index.md b/site/docs/index.md index 5bfae190..fa52de33 100644 --- a/site/docs/index.md +++ b/site/docs/index.md @@ -1,30 +1,31 @@ # tg-spam -Anti-Spam bot for Telegram. +TG-Spam is a self-hosted anti-spam bot designed for Telegram, offering a seamless and effective solution to keep unwanted spam at bay. Carefully engineered to minimize disruptions for legitimate users while being a formidable barrier against spam bots. TG-Spam utilizes advanced detection techniques to maintain a spam-free environment.
-## What is it and how it works? +
-The bot is designed to run as a docker container. It requires a token and a group name/id to work. The bot will listen to all messages in the group and ban users who post spam. -Spam detection based on several factors: -- similarity to known spam messages -- number of emojis in the message -- check user against [Combot Anti-Spam System](https://cas.chat) (CAS) -- check the overall similarity of the message to the known spam messages -- compare with the list of stop words -If the message is considered spam, the bot will delete it and ban the user. +
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+## What is it and how it works? +TG-Spam is a sophisticated anti-spam bot tailored for Telegram groups, designed to run seamlessly as a Docker container. It is simple to set up, requiring only a telegram token and a group name or ID to begin its operation. Once deployed, TG-Spam diligently monitors all messages, employing a robust spam detection system to identify and eliminate spam content. +### Key Features of Spam Detection -
+TG-Spam's spam detection algorithm is multifaceted, incorporating several criteria to ensure high accuracy and efficiency: + +- Message Analysis: It evaluates messages for similarities to known spam, flagging those that match typical spam characteristics. +- Integration with Combot Anti-Spam System (CAS): It cross-references users with the Combot Anti-Spam System, a reputable external anti-spam database. +- Spam Message Similarity Check: TG-Spam assesses the overall resemblance of each message to known spam patterns. +- Stop Words Comparison: Messages are compared against a curated list of stop words commonly found in spam. +- Emoji Count: Messages with an excessive number of emojis are scrutinized, as this is a common trait in spam messages. +- Automated Action: If a message is flagged as spam, TG-Spam takes immediate action by deleting the message and banning the responsible user. ## Admin chat/group