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Would be amazing if it had a free option for students. Could also benefit from offering different single line - shapes such as circles and squares etc
2018-10-04
His is getting much easier now that I've done it a couple times and it is very convenient to have an Online service so I can use any of my Electronic devices.
2019-01-04
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I like how easy it is to edit the content of a PDF. I've recently had to adjust a few documents which were not previously editable for me, and this has made it simple to keep things updated.
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I would like to be able to choose the file destination when selecting Save As, rather than it defaulting to my Downloads folder.
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We've recently implemented new contracts for our accounts, and using PDFfiller has made creating them so easy. It's saved me a significant amount of time.
I like how easy it is to edit the content of a PDF. I've recently had to adjust a few documents which were not previously editable for me, and this has made it simple to keep things updated.
What do you dislike?
I would like to be able to choose the file destination when selecting Save As, rather than it defaulting to my Downloads folder.
What problems are you solving with the product? What benefits have you realized?
We've recently implemented new contracts for our accounts, and using PDFfiller has made creating them so easy. It's saved me a significant amount of time.
2019-01-29
Excellent
Excellent! Eliminates the concern of properly providing the essential information on documents. Takes a large load of concern off the mind. Highly recommended.
2020-03-19
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2024-05-16
I canceled my trial but maybe I didn't complete it on my end. Either way the subscription was charged to my card and I contacted support which usually is a nightmare when you have billing problems and it was honestly quick and painless. Great service and they got my refund and account canceled quickly. Thank you to ***** from support
2022-11-10
I used the free trial to compile rent due ledgers for the ************** requirement. I did not cancel on time and was charged $180 dollars. I reached out to support and ****** returned my email within minutes. I provided my information to customer service specialist ****** and he fixed the problem. There wasn't any back and forth emails. It was straight to the point. Thank you ****** for being quick and professional.
2022-04-05
This is getting a 4 star review as for…
This is getting a 4 star review as for today helped me accomplish allot of paper work in short amount of time love this product
2021-06-09
I am a Landlord and own several properties. I previously have used DocuSign to obtain a tenants signature on a tenancy agreement. PDFiller is so much more flexible and would give google all the stars they deceiver for this product. Many Thanks. Franz.
2020-07-13
Classify Title Text Feature
Introducing the Classify Title Text feature, designed to streamline your content management. This tool helps you organize and categorize titles effectively, enhancing your workflow and saving you time.
Key Features
Automated title categorization
User-friendly interface
Real-time suggestions
Compatible with various platforms
Customizable classification options
Potential Use Cases and Benefits
Easily manage large volumes of content
Enhance searchability and organization of titles
Improve content team collaboration
Support content marketing strategies
Increase efficiency in content curation
By implementing the Classify Title Text feature, you can solve challenges related to title management. No more confusion over similar titles; this tool clarifies your content structure and improves accessibility. Ultimately, it empowers you to focus on creating quality content while we handle the organization.
For pdfFiller’s FAQs
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What is meant by text classification?
Text classification (a.k.a. text categorization or text tagging) is the task of assigning a set of predefined categories to free-text. Text classifiers can be used to organize, structure, and categorize pretty much anything.
What are the classification of text?
What is Text Classification? Text classification models are used to categorize text into organized groups. Text is analyzed by a model and then the appropriate tags are applied based on the content. Machine learning models that can automatically apply tags for classification are known as classifiers.
What is classification text structure?
Classification-division text structure is an organizational structure in which writers sort items or ideas into categories according to commonalities. It allows the author to take an overall idea and split it into parts for the purpose of providing clarity and description.
What is text classification in NLP?
Text classification also known as text tagging or text categorization is the process of categorizing text into organized groups. By using Natural Language Processing (NLP), text classifiers can automatically analyze text and then assign a set of predefined tags or categories based on its content.
What are examples of classification?
The definition of classifying is categorizing something or someone into a certain group or system based on certain characteristics. An example of classifying is assigning plants or animals into a kingdom and species. An example of classifying is designating some papers as “Secret” or “Confidential.”
How does text classification work?
Rule-based approaches classify text into organized groups by using a set of handcrafted linguistic rules. These rules instruct the system to use semantically relevant elements of a text to identify relevant categories based on its content. Each rule consists of an antecedent or pattern and a predicted category.
How do classification algorithms work?
Classification is a technique where we categorize data into a given number of classes. The main goal of a classification problem is to identify the category/class to which a new data will fall under. ... Classifier: An algorithm that maps the input data to a specific category.
How does naive Bayes work in text classification?
Naive Bayes Classification. Naive Bayes classifiers are linear classifiers that are known for being simple yet very efficient. The probabilistic model of naive Bayes classifiers is based on Bayes' theorem, and the adjective naive comes from the assumption that the features in a dataset are mutually independent.
What is text categorization in NLP?
Text classification also known as text tagging or text categorization is the process of categorizing text into organized groups. By using Natural Language Processing (NLP), text classifiers can automatically analyze text and then assign a set of predefined tags or categories based on its content.
What is classifier in NLP?
A classifier is a machine learning tool that will take data items and place them into one of k classes. A probabilistic classifier, like this one, can also give a probability distribution over the class assignment for a data item. This software is a Java implementation of a maximum entropy classifier.
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