| Ontwikkelaar: | 新俊 方 (4) | ||
| Prijs: | $0.99 | ||
| Beoordelingen: | 0 | ||
| Recensies: | 0 Schrijf een review | ||
| Lijsten: | 0 + 0 | ||
| Punten: | 1 + 0 ¡ | ||
| App Store | |||
Beschrijving
"SMS Sift" is based on the Core ML machine learning framework to filter spam SMS offline on the device side, which can accurately identify spam SMS through semantics, so that you are protected from the harassment of blocked SMS
"SMS Sift" is a tool for sending SMS quickly, SMS templates for New Year holidays, workplace business and other scenarios, so that you will never worry about the content of SMS. Just pick up your phone to find the template to copy and paste, one-click group sending, simple operation, efficient and convenient!Built-in massive SMS, you can choose
**Characteristic**
• Add an unlimited number of custom filter rules
• No need for network permission, safe and reliable filtering of spam SMS, privacy is not leaked
• "Blacklist" and "Whitelist" dual list filtering mode, filter spam SMS while ensuring that important SMS messages are not mistakenly filtered
• Built-in inspector lets you test and validate filtering rules
• Easily set up defined filter rules
** Gather everyone's efforts to make the identification of the APP more accurate **
"SMS Sift" uses statistical-based machine learning algorithms to learn from hundreds of thousands of various SMS samples. Without the user configuring any keywords, it can accurately determine whether the received SMS is a normal SMS, a public welfare SMS or an advertising harassment SMS by identifying the semantic characteristics of an SMS.
If the APP has a judgment error, you can report SMS samples in the App to help the APP further improve the accuracy, the more submissions, the higher the accuracy.
** Privacy Policy: What information does SMS Blocker collect? **
SMS Sift runs in a closed and secure environment provided by iOS, is a completely offline app, doesn't even ask for network permission (until you first report spam to us), reads, collects, or tags your text messages. We rely on a wide range of users to proactively report spam messages to us to build a sample library of machine learning.
"SMS Sift" will not collect any of your information, let alone upload your SMS content, if you are careful enough, you will find that Panda will not ask for network permission, completely offline operation.
If you voluntarily submit a sample text message to us, the text of the redacted SMS and a number that you mark as spam or not will be collected, only these two data.
Screenshots
Wat is er nieuw?
- Versie: 1.1
- Bijgewerkt:
- 1. Fix known issues
2. Enhance the user experience
3. Add a model training thesaurus
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- Vandaag: $0.99
- Minimum: $0.99
- Maximaal: $0.99
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Aanvullende informatie
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