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My first send could not be read by the recipient, so I printed to send. THen cannot reuse forms ie erase and reuse parts. Otherwise getting better with it.
2017-04-19
Decent, though the affiliated linked program options which supposedly come with the upgrade purchase don't seem to work / or be actually as advertised.
2019-05-27
good enough but I am being billed $30…
good enough but I am being billed $30 and $30 for this month October alone and I only have one license. Just me. I need this corrected immediately.
Aaron McCartney
(561)336-8012
2022-10-19
Relatively easy to use
Relatively easy to use, intuitive software. Wish there were a way to copy and paste some aspects of the document I'm working into an email or other document.
2022-07-01
User interface can be better
This is a pretty good website to merge pdfs. Overall has everything you need. I do believe the user interface can be easier to use for those who aren't as tech savvy.
2022-03-03
Excellent
Excellent! intuitive user interface, i was happy to know we could draw the signature directly from within the application, very happy with this service!
2021-05-26
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2020-08-06
Perfect
Perfect, I tried using the government website for this form and half the fields did not work, from now on I will use government forms from PDF
2020-06-18
Fast and effective response
When I contacted them through their Chat feature my problem was resolved there and then. Instant response, and then follow up emails to make sure everything was ok. This is how customer service should work but so often doesn't.
2024-12-24
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How do you classify newspaper articles?
Text classification process involves following main steps for classification of news article. These steps are data collection, preprocessing, feature selection, classification techniques application, and evaluating performance measures. The first step of news classification is accumulating news from various sources.
How do you classify a document?
Expectation maximization (EM) Naive Bayes classifier. Tfidf. Instantaneously trained neural networks. Latent semantic indexing. Support vector machines (SVM) Artificial neural network. K-nearest neighbor algorithms.
Why do we classify documentation?
Automatic document classification can be defined as content-based assignment of one or more predefined categories (topics) to documents. This makes it easier to find the relevant information at the right time and for filtering and routing documents directly to users.
What are the 3 levels of classified information?
Sensitivity is based upon a calculation of the damage to national security that the release of the information would cause. The United States has three levels of classification: Confidential, Secret, and Top Secret. Each level of classification indicates an increasing degree of sensitivity.
What information should be classified as secret?
Classified information can be designated Top Secret, Secret or Confidential. These classifications are only used on matters of national interest. Top Secret: applies when compromise might reasonably cause exceptionally grave injury to the national interest. The possible impact must be great, immediate and irreparable.
What are the classification of information?
A classification level must be assigned to information when that information is determined to be classified. The U.S. classification of information system has three classification levels -- Top Secret, Secret, and Confidential -- which are defined in EO 12356.
How do you categorize text?
The Simplest way to do text categorization is to use bag-of-words representation. Words/ n-grams of words in each document could be used as features. With this you can represent every document as vector in metric space. Subsequently, you can apply clustering to group documents that are similar in terms of content.
How do you text a classification?
Create a new text classifier: Go to the dashboard, then click Create a Model, and choose Classifier: Upload training data: Next, you'll need to upload the data that you want to use as examples for training your model. Define the tags for your model: Tag data to train the classifier:
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