classifier label in excel

add a label or text box to a worksheet - excel

add a label or text box to a worksheet - excel

If someone's entering data inaccurately, or you think a coworker may be confused about how to enter data, add a label. A simple name, such as "Phone," lets others know what to put in a cell, and your labels can also provide more complex instructions.

The Properties dialog box appears. For detailed information about each property, select the property, and then press F1 to display a Visual Basic Help topic. You can also type the property name in the Visual Basic Help Search box. This table summarizes the properties.

The Properties dialog box appears. For detailed information about each property, select the property, and then press F1 to display a Visual Basic Help topic. You can also type the property name in the Visual Basic Help Search box. The following section summarizes the properties that are available.

A label identifies the purpose of a cell or text box, displays brief instructions, or provides a title or caption. A label can also display a descriptive picture. Use a label for flexible placement of instructions, to emphasize text, and when merged cells or a specific cell location is not a practical solution.

A text box is a rectangular box in which you can view, enter, or edit text or data in a cell. A text box can also be a static, and display data users can only read. Use a text box as an alternative to entering text in a cell, when you want to display an object that floats freely. You can also use a text box to display or view text that is independent of row and column boundaries, preserving the layout of a grid or table of data on the worksheet.

To create a text box with a set of placeholder characters that accepts a password, use the PasswordChar property. Make sure that you protect the linked cell or other location in which the text is stored. Use strong passwords that combine uppercase and lowercase letters, numbers, and symbols, such as Y6dh!et5, not House27. Passwords should be 8 or more characters;14 is better. And don't forget your password. If you do, we can't help you retrieve it. Office doesn't have a master key to unlock anything. Store passwords in a secure place away from the information they help protect.

To create a scrolling, multiple-line text box with horizontal and vertical scroll bars, set MultiLine to True, AutoSize and WordWrap to False, ScrollBars to 3, and LinkedCell to the cell address (such as D1) that you want to contain the text. To enter a new line, the user must press either CTRL+ENTER or SHIFT+ENTER, which generates a special character that is stored in the linked cell.

apply sensitivity labels to your files and email in office

apply sensitivity labels to your files and email in office

Note:This feature requires a Microsoft 365 subscription and is available for users and organizations whose administrators have set up sensitivity labels. If you're an administrator looking to get started with sensitivity labels seeGet started with sensitivity labels.

The names of these labels, the descriptions you see when you hover over them, and when to use each label will be customized for you by your organization. If you need additional information about which label to apply, and when, contact your organization's IT department.

Note:Even if your administrator has not configured automatic labeling, they may have configured your system to require a label on all Office files and emails, and may also have selected a default label as the starting point. If labels are required you won't be able to save a Word, Excel, or PowerPoint file, or send an email in Outlook, without selecting a sensitivity label.

Important: Sensitivity is not visible if your Office account isn't a work account with a Office 365 Enterprise E3 or Office 365 Enterprise E5 license assigned, if your administrator hasn't configured any sensitivity labels and enabled the feature for you, or if the Azure Information Protection client isn'trunning in Office.

To remove a sensitivity label that has already been applied to a file, unselect it from the Sensitivity menu. Naturally if your organization requires labels on all files you won't be able to remove it.

Important: Sensitivity is not visible if your Office account isn't a work account with a Office 365 Enterprise E3 or Office 365 Enterprise E5 license assigned, or if your administrator hasn't configured any sensitivity labels and enabled the feature for you .

To remove a sensitivity label that has already been applied to a file, unselect it from the Sensitivity menu. Naturally if your organization requires labels on all files you won't be able to remove it.

On your Android tablet, select the Home tab (if it isn't already selected),then select Sensitivity. On your Android phone, select the Edit icon on the top of your screen to expand the ribbon. On the Home tab, scroll down, then select Sensitivity.

Important: Sensitivity is not visible if your Office account isn't a work account with a Office 365 Enterprise E3 or Office 365 Enterprise E5 license assigned, or if your administrator hasn't configured any sensitivity labels and enabled the feature for you.

To remove a sensitivity label that has already been applied to a file, unselect it from the Sensitivity menu.Naturally if your organization requires labels on all files you won't be able to remove it.

To remove a sensitivity label that has already been applied to an email, selectEdit Sensitivity and then selectRemove.Naturally if your organization requires labels on all files you won't be able to remove it.

On your iPad, select the Home tab (if it isn't already selected),then select Sensitivity. On your iPhone, select the Edit icon on the top of your screen to expand the ribbon. On the Home tab, scroll down, then select Sensitivity.

Important: Sensitivity is not visible if your Office account isn't a work account with a Office 365 Enterprise E3 or Office 365 Enterprise E5 license assigned, or if your administrator hasn't configured any sensitivity labels and enabled the feature for you.

To remove a sensitivity label that has already been applied to a file, unselect it from the Sensitivity menu.Naturally if your organization requires labels on all files you won't be able to remove it.

To remove a sensitivity label that has already been applied to an email, selectEdit Sensitivity and then selectRemove.Naturally if your organization requires labels on all files you won't be able to remove it.

To remove a sensitivity label that has already been applied to an email, unselect it from the Sensitivity menu.Naturally if your organization requires labels on all files you won't be able to remove it.

Important: Sensitivity is not visible if your Office account isn't a work account with a Office 365 Enterprise E3 or Office 365 Enterprise E5 license assigned, or if your administrator hasn't configured any sensitivity labels and enabled the feature for you .

To remove a sensitivity label that has already been applied to a file, unselect it from the Sensitivity menu.Naturally if your organization requires labels on all files you won't be able to remove it.

If your administrator has set up automatic labeling then files or emails that contain certain kinds of information - such as social security numbers, credit card numbers, or other sensitive information - can have a specified label either recommended for, or applied, automatically.

When you apply a sensitivity label, the label information will persist with your file or email, even as it is shared between devices, applications, and cloud services. Applying a sensitivity label may also result in changes to your file or email according to your organization's configuration, such as:

Note:If you don't have permission to change or remove a sensitivity label, you'll be prevented from doing so with an error message in most apps. In some apps, like Outlook mobile, the sensitivity labels will simply be disabled.

Not all apps on all platforms support the same behavior, so the exact results of applying a sensitivity labelmay vary slightly. For more information about what capabilities are supported on each platform seeSupport for sensitivity label capabilities in apps.

Your administrator can have a policy that requires you to provide justification before changing a sensitivity label from a higher sensitivity to a lower sensitivity. In this configuration, you may be asked to choose a justification reason or provide your own when selecting a less sensitive label.

Note:You will only be asked to justify changes one time after opening a document or replying to forwarding an email message. After justifying once, subsequent changes will not require justification until that document or email message is closed and opened again.

excel - azure classification using vba - stack overflow

excel - azure classification using vba - stack overflow

I have a macro that creates and saves multiple word and excel documents. Recently, My organisation started using Microsoft Azure protection. It always asks the user to choose the classification label while saving the document. Is there a way we can pass the label from VBA? (i.e. controlling the classification via code)

might be solved with the new SDK that supports the programmatic application of labels. However, this SDK not yet available in public preview. You might be able to try it private preview if you ask about it on the Yammer site: https://www.yammer.com/AskIPTeam

is User Voice entry for this SDK, ...[which may] be updated when it becomes publically available ...if you vote for it, you also get notified: https://msip.uservoice.com/forums/600097-azure-information-protection/suggestions/19602292-update-the-sdk-api-for-aip-to-include-classificati%C2%A0

However I found a solution for myself. Basically I create now a draft of a mail manually where I choose the classification manually. This draft remains in a special folder in outlook. Once I need to send a mail via VBA I copy the draft (classification included!), I change recipients, object, body and I am able to send it without user interaction from VBA since the classification is already done.

I did not find a solution via API either. But I got it working smooth with SendKeys. Not the best solution, but it works. Maybe you have to adjust the characters. Be sure your Outlook email is in foreground. I execute the sendKeys right after ".display".

In case its an e-mail in outlook the complexity lies in placing the same thing in x-header, but as HaPi has way-around solution. Otherwise this solution by Marquise [https://stackoverflow.com/a/55761007/10213468] can be tried out. Thanks to Eugene [https://stackoverflow.com/a/57413086/10213468] for the details which I worked around with.

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text classification in excel: build your own model | meaningcloud

text classification in excel: build your own model | meaningcloud

In the previous tutorial we published about Text Classification and MeaningClouds Excel add-in, we showed you step by step how to carry out an automatic text classification using an example spreadsheet.

In this tutorial, we are going a bit further: instead of just using one of the predefined classification models we provide, we are going to create our own model using the model customization console in order to classify according to whichever categories we want.

We are going to work with the same example as before: London restaurants reviews extracted from Yelp. We will use some data from the previous tutorial, but for this one we need more texts, so weve added some. You can download the spreadsheet here if you want to follow the tutorial along.

If you followed the previous tutorial, you might remember that we tried to use the IAB model (a predefined model for contextual advertisement) to classify the different restaurant reviews and find out what type of restaurants they were. We had limited success: we did obtain a restaurant type for some of them, but for the rest we just got a general category, Food & Drink, which didnt tell us anything new.

This is where our customization tools come in. Our classification models customization console allows you to create a model with the categories you want and lets you define exactly the criteria to use in the classification.

It will open a dialog where you can define the name of your new model (in our case we are calling it Restaurants) the language in which we are creating it (English), and optionally, a description of the models purpose.

Once we have created the model, we can start adding the categories that we are going to use to classify our texts. We could define numerous categories, depending on the level of precision we would like to achieve, but in this first iteration we are going to focus on five categories: Asian Food, Italian Food, Mexican Food, Fish & Chips, and American Food.

To create a category, we need to determine two things: its name (or label) and the code associated to it (its univocal identification within the model). In the following image, you can see how we are going to create the category for Asian food:

By creating these categories, weve defined the different boxes in which our texts are going to be sorted, but we still have to tell the system how to decide in which box to put the texts we want to classify.

To set the criteria for a model we have three possibilities: using training texts (statistical model), using rules (rule-based model) or using both combined (hybrid model). You can find some tips on which one to use in the documentation. For our scenario, we are going to use a hybrid model: we have lots of example texts, and it seems easy to add specific terminology for each one of the categories to improve the results.

The spreadsheet available to download at the beginning of the tutorial features several sets of texts that we are going to use to train and evaluate the model. There are four different sheets: TrainingA, Training B, TestA, and TestB. TrainingA is the same set of texts we classified in the previous tutorial, and we are going to use it as the first training text of the model.

To add training text to a category, just access the category view and copy the texts in the section at the bottom, the Training text section. This is what the categories look like after adding the texts from TrainingA:

If you do not want to define the categories yourself at this time, you can download this file and import it directly into your empty model using the default configuration that appears in the import dialog.

Configuring it is very easy: when you click on the text classification button, the models created with the license key you have configured in the Settings section of the add-in will appear automatically in the model field.

We will carry out an iterative process to analyze some texts and then evaluate the performance of our model. This information will serve us as feedback until we reach a satisfactory performance level. With this in mind, we are going to evaluate the model we trained with the TrainingA set using the texts contained in the Test set.

To obtain a quantitative measurement of this comparison, we can easily add a column to the results where to output 1 when the result given is correct (that is, equal to the value of the first column), and 0 when it isnt.

We get 23 correct out of 42, roughly a 54%, which seems to indicate we need to keep training our model. We can also create a chart such as the one on the right, to see the results by category and identify which ones are more problematic.

The first thing we are going to do to improve these results is to add more training texts to the model. We are going to add the texts from the TrainingB set the ones weve just used to evaluate in the same way we added the ones from TrainingA in Step 1.3.

You may have noticed that, until now, weve only trained the model using training texts, which means that we have not used a hybrid model yet, but a statistical one (you can download this file with the updated model, and import it directly into your empty model using the default configuration that appears in the import dialog).

When we check the texts for which the model has not provided the correct answer, we see that most of them could be easily fixed by adding rules to the categories (for instance, adding American style as a marker for a review that should be classified as American food), so thats what we are going to do next.

There are four types of rules we can define for a category: positive terms (mandatory terms that have to appear in the text in order to classify it into a category), negative terms (which exclude a text that contains any of them from a category), relevant terms (add weight for that category), and irrelevant terms (decrease weight for that category).

As we did before, we will not evaluate the new results with the collection of texts weve used as feedback, so once weve added the rules to our model (click here to download the model with the rules weve defined and import it into your account).

You can repeat this optimization process as many times as you consider necessary, although its important to consider that every scenario/domain has its own limitations, usually coming from the richness and the ambiguity of the terminology used in it.

If we check the two misclassified reviews of this last evaluation, we see that there are no references unambiguous enough to let us guess the type of restaurant they are. In these cases, the fact that the model is not able to determine the type of restaurant (nor us, for that matter) is quite reasonable.

Hi for your text classification API, I assume your model uses a Niave Bayes algorithm? Ive got a module built on MonkeyLearn that works well with Bayes, but our small scale doesnt justify paying their API fee. I hope to transfer my training samples (only about 40 in 3 categories) to your platform and see how it works. Thanks! Steve

enable or disable excel data labels at the click of a button - how to

enable or disable excel data labels at the click of a button - how to

Data labels in Excel charts can help users to get the information right at that spot without referring to any other source of information. In some situations however, same data labels can get in the way.

In such cases, having the flexibility to turn data labels on and off at the push of a button can be immensely helpful and make charts much more user friendly. We can do this easily using Excel form controls. Here is the look at what we are trying to achieve in today:

Now we do have a way to disable them once again by redoing the whole step 2 but selecting none from the menu. This is cumbersome and is more like developers work to do and in the middle of presentation this approach will hinder the flow.

Step 4: Click developer tab > go to controls group > click insert button > under form controls click check box. This will turn pointer into insertion tool. Go to desired cell and left click once. This will insert the check box in the worksheet.

Step 6: Right click on the check box and click format control. This will open up a new window, click once inside linked cell rang box and click the appropriate cell where its output can be generated. Click OK. Now if you click the box, it will show results of TRUE or FALSE on tick and untick status.

Step 8: Right click on any data label of Y2010 in chart and select format data labels. Tick the option of value from cells and click select range button and select the first series in column E as it corresponds to Y2010. Untick other options for data labels from the list.

Step 9: Right click on any data label of Y2016 in chart andselect format data labels. Tick the option of value from cells and click select range button and select the first series in column F as it corresponds to Y2016. Untick other options for data labels from the list.

How would you do this in Excel 2010 since you dont have the option of value from cells tick in step #8? Im almost there and now Im stuck again. I need a work around. I couldnt get the macro to bring the data labels back without getting the error message object variable or with block variable not set. I got the macro to remove the data labels to work pretty easy but since Im not a whiz in Excel coding, I cant figure out how to get them to come back with a button.

faqs for classification & labeling - aip | microsoft docs

faqs for classification & labeling - aip | microsoft docs

To provide a unified and streamlined customer experience, the Azure Information Protection classic client and Label Management in the Azure Portal are deprecated as of March 31, 2021. While the classic client continues to work as configured, no further support is provided, and maintenance versions will no longer be released for the classic client.

No. When you label an email message that has attachments, those attachments do not inherit the same label. The attachments remain either without a label or retain a separately applied label. However, if the label for the email applies protection, that protection is applied to Office attachments.

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