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It has been exceptional EXCEPT it was a little underhanded the way you tell the user how much it will really cost. NOT Free as advertised. I am okay with it but thought it should be state up front.
2014-08-21
Customer support was top notch. They resolved my print issues with my form. The reason I did not give it 5 stars and would not recommend is that I Googled for a form to fill out for a US Passport. I didn't expect to find one i could fill in on line. What was not apparent was that ONLY AFTER SPENDING 30 MINUTES FILLING OUT THE FORM did I find out I had to pay $20 to print, save, fax, email or share the form. Customer service was great, but did not want to sign up for a monthly pdf service or pay $20 for 1 form.
2016-05-02
I am new to this program the search engine next to the description of the for would be great if you could see a picture of the for rather than having to click on it if it is not the one you want then back to the search engine
2016-06-19
The features are great. It would be nice to have the option to combine PDF documents. I also have an issue when entering text where the text box disappears and I have to click on the document again to enter text. Aside from that, he existing features are great and I would like to see how PDFfiller can improve in the future.
2017-07-24
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I was able to take a 30+ page PDF file, highlight areas of significance, add sticky notes and/or note boxes where I needed to remember a particular point in the lengthy document filled with legal jargon. Which made things SO much easier for me. Although I have listed a few things that I wish were different, overall the product is a great one. I had one difficult experience with a file, but otherwise everything has been amazing. I would absolutely recommend PDFfiller to anyone needing the tools it offers.
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There are two things that I would change if I could. The first thing that I did not care for is honestly just one of those particulars that I would have like to have the option of. That being that the only highlighting option is yellow. While this is not really a big deal, it would be really nice to have the option to select different highlighting options (pink,green,orange,blue,etc.). As a college student, I handle a LOT of PDF files on a weekly basis. Anything from a single page reference list, to a PDF copy of a book that consists of hundreds of pages. For me, color coding highlighted areas makes research points easier to decipher and organize according to relevance to one another. The one thing that I noticed was a bit of a headache to deal with. I uploaded a file that needed updating. I selected a entry point that needed to be changed, and the font size automatically changed from an 8.5 to a 9. I selected the "text size down" option, and it made it a size 8. There is no option to size it back to an 8.5. This created an abnormal look to the line of text, and one or more words were different in size. I would have to go through and individually adjust everything to the same size. This may be a subtle difference in size, but as a Graduate student, these things matter in the grading process.
2019-09-16
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Such a great tool for editing PDF! totally recommended! thank you pdffiller, I'll forever be in debt w you. God Bless!
2024-04-05
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2023-06-01
PDF Filler has been a great tool to…
PDF Filler has been a great tool to assist me in the large amount of forms that I have had to edit over the past few months. It is very easy to use. I do think that is for the more tech savvy individuals that deal with PDFs on a daily basis. There were a few things that I had to figure out, but overall I give it 5 stars because it is a lot easier to use and edit documents my way than it is for me to do in Adobe PDF. Thanks PDF Filler.
2022-01-30
Chatted online to cancel and refund $96 that I was charged and I got a pretty friendly guy named Peter! He was sweet and fast! If I needed this particular application again, I would definitely reuse them!!!
2020-05-03
Classify Text Accreditation Feature
The Classify Text Accreditation feature offers organizations a reliable way to improve content accuracy and relevance. This tool classifies and accredits text based on specific criteria, making it easier for users to ensure their content meets required standards. Let's delve into what this feature can do for you.
Key Features
Automatic classification of text based on predefined criteria
User-friendly interface for easy navigation and usage
Integration capabilities with various content management systems
Detailed reports highlighting text compliance and areas for improvement
Customizable settings to fit specific organizational needs
Potential Use Cases and Benefits
Enhancing content quality for educational institutions
Streamlining compliance processes in regulated industries
Improving content strategy for marketing teams
Facilitating document review processes for legal teams
Ensuring consistency across business communications
Imagine you are struggling to maintain the quality and compliance of your text content. This feature addresses that problem effectively. By automating the classification and accreditation process, you save time and resources while boosting confidence in your content. With the insights provided by the detailed reports, you can continuously improve your writing, meeting not just standards, but also the expectations of your audience.
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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 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.
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.
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.”
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 are the 7 types of text structures?
This lesson teaches five common text structures used in informational and nonfiction text: description, sequence, cause and effect, compare and contrast, and problem and solution.
What is the definition of text structure?
Text structure refers to how the information within a written text is organized. This strategy helps students understand that a text might present a main idea and details; a cause and then its effects; and/or different views of a topic.
What are the 4 types of text?
There are four main types of writing: expository, descriptive, persuasive, and narrative.
What is naive Bayes text classification?
Oct 4, 2014. Naive Bayes classifiers, a family of classifiers that are based on the popular Bayes' probability theorem, are known for creating simple yet well performing models, especially in the fields of document classification and disease prediction.
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