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- SpamBlocker Vs. I Write Like
SpamBlocker vs I Write Like Usage & Stats
■SpamBlocker supports Spam/Trash mailbox’s reassignment.
Some (IMAP) mail servers support a machine learning spam filtering by using the mail data in the spam mailbox. If the spam mailbox matches between SpamBlocker and the mail server, SpamBlocker can feedback its spam filtering result to the mail server. Then the spam mail traffic can be reduced.
■SpamBlocker provides a spam filtering feature
SpamBlocker(the usage is explained at the online help in the App) can filter out spams(junk mails) from the incoming mail messages by a spam filter which is generated by the SpamBlocker's built-in machine learning engine.
SpamBlocker also supports 'rule based' filtering by specifying "sender's mail address" or "subject"'s substring.
SpamBlocker supports IMAP/POP3 and can access only Inbox, spam box, trash box.
SpamBlocker has no mail sending facility.
As for the POP3 mail filtering, SpamBlocker has to get started before other mailers, otherwise spams will be downloaded to other mailers
because POP3 has no synchronization mechanism .
SpamBlocker supports HTML image blocking.
SMS/MMS are not supported.
SpamBlocker adapts the advertising free application model, but it has no resident toolbar, so the client area with an advertisement banner isn't narrower than other standard iOS applications.
■Main Features:
•Fast machine learning engine optimized for a mobile device
◦Learn ham and spam mail messages to generate a spam filter
◦Spam filtering time is very short compared with mail messages downloading time.
◦Multi-language. In this version, only English and Japanese are supported.
European languages will be OK if it's based on alphabets.
◦Multi-account
■How to connect to an mail server:
To connect an mail server,
just specify your full email address as your login name(username) and the password you log in to your account.
If you don't know your login name/password, contact an organization or personnel in charge of the mail server to get a hostname, user id(name), password.
■Basic operation
* Pull down to Refresh/Long Press to reload&spam filtering
* Push up to download older mails at the bottom of message lists
* Tap/Swipe the navigation bar to move around mailboxes
* Move/Delete/Mark mail messages by the toolbar on the navigation bar
* Tap/Swipe the navigation bar to turn over mail messages
* Swipe To POP3 server to move back a mail to POP3 server.
* Add a mail to the blacklist/spam learning data by swiping a cell
■Spam filtering:
SpamBlocker generates a spam filter by learning from spam and ham messages in INBOX.
Just follow the steps, you can have your own spam filter.
1. Tap 'Edit' button in Monitor.
2. Pick up several mail messages by tapping each table cell.
3. Tap "SPAM" button on the command bar.
4. Likewise pick up mails, and "HAM" button on the command bar.
5. "Pull down to Refresh" or "Long press on the navigation bar" triggers Machine learning, then a spam filter will be generated.
6. Repeat the steps(1-5) until the number of spams and hams reaches about 16.
7. After learning 16 spams and 16 hams, SpamBlocker is ready to start judging which mail is spam or not. Set the spam filter switch on the account setting if you want to start the spamfiltering.
8. Check the filtering result on Monitor.
9. Correct errors and 'Pull down to Refresh" or "Long press on the navigation bar", re-learning starts and your spam filter gets smarter.
Repeat the steps(8-9) until no errors are found.
■Spam Rule Filtering:
Please don't forget about turning on "Spam Rule switch" at the account setting after setting rules.
■Other usage:
Please visit support page.
http://www.seimitsusakufu.com/iOS/mailapps/en/support.html.
■Support:
To get a further support , contact through the following mail address.
support_seimitsu@jcom.home.ne.jp
■Copyright:
Some of icons in this software are designed by Icons8 (http://icons8.com)
- Apple App Store
- Free
- Productivity
Store Rank
- -
Check which famous writer you write like with this statistical analysis tool, which analyzes your word choice and writing style and compares them with those of the famous authors.
Used by millions of people for inspiration and entertainment since 2010, our popular writing analyzer is now available for iPhone, iPad, and Mac!
FEATURES
* Type your text and tap the "Analyze" button to get the complete analysis: an author similarity according to Bayesian probabilities, an accurate character and word count, and an approximate reading time and readability score.
* Share your results with others.
* Your texts are synchronized across all your devices via iCloud.
REVIEWS
Since its release, the original version as been reviewed by the following publications:
"Check it out."
— Los Angeles Times
"The phenomenally popular I Write Like analyses your prose and matches its style with famous authors. Who's your literary doppelganger? ... So it might not be getting it right every time but I Write Like is an awful lot of fun."
— The Guardian
"Go ahead, try it."
— Entertainment Weekly
"[Margaret] Atwood, herself, tried the site only to discover she also apparently writes like King. "Who knew?" she tweeted. Obviously, I Write Like isn't an exact science. But simply the idea of an algorithm that can reveal traces of influence in writing has proven wildly popular."
— Associated Press
- Apple App Store
- Paid
- Productivity
Store Rank
- -
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SpamBlocker VS.
I Write Like
January 9, 2025