Of the many spam detection tools, a spam checker works as an anti spam filter. It detects words or phrases that look suspicious and replaces them so that the text under analysis does not end up in the spam folder, and goes straight into the inbox. They consider email content, but assess also the sender`s email address reputation, as well as how frequently you send emails. Data are the user`s property; verified email content by spam checker is kept by the software as a model for further text analysis for spam.
The spam checker software spots words that you should avoid and rephrase in your content. One or a few spam words in your text does not mean it will be classified as spam. The number of spam words in the text defines its category. Once you have removed the highlighted words from your text, you are certain that whether it is a personalised message or a bulk emailing, it will reach its safe destination, i.e. the addressee`s inbox.
Spam Checker API is sensitive to trigger words in your content. These are words or phrases that are immediately red flagged by the software. Such glossary can be classified in groups: 1) words that urge recipients; 2) words that are unethical or illegal; 3) overpromising claims; 4) money connotations; 5) unnatural language. The platform examines the content running a set of rules or checklist built with models that AI, ML and NLP generate. These models are constantly being updated with the user`s input, what makes it dynamic and highly efficient.
Spam Checker API will work on email, tracking delivery. This allows you to save time and money as it fixes potential issues beforehand. It examines your texts to check if there is risky content by running it through a series of spam filters (Spam Detector API, Block Spammers API, and others), and outputs accurate feedback for you to clean it before sending or sharing it.
Spam Checker API allows you to create lists of content to run spam test so as to avoid spreading spam in the form of virus or other threats that can hamper the success of mailings, communication in general, and projects. Content filtering works with a combination of “allow-lists” or “block-lists”. In the former one finds all content that is explicitly apt, and with this the software performs the most accurate spam checking. In the latter you find all content but not that which is specifically banned, a more flexible process because it denies only specified content.
To enable spam checking you can either configure your systems with firewalls, integrate hardware devices, use filtering systems with cloud-based content, or else get a good platform like Spam Checker API that will protect your texts and in this way keep your communication and project development without the threat of spam.
The API will filter texts by grouping properties, so as to perform advanced search syntax. Filters will apply labels for the content to be added or removed. These labels can be modified to change the content disposition. Make sure you, your system, your devices, your staff, your organization and your project comply with the rules of content hygiene. This will safeguard your reputation, increase productivity and guarantee achievement.