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What our customers say about pdfFiller
See for yourself by reading reviews on the most popular resources:
I loved it but need to know more about how to use it I dont know how to blank out the form once I have filled it out, saved it, and put it in the folder. I want to use it again but it has the old information on it help email me my phone is broken and i will not have it back until tomorrow
2016-10-24
It's pretty good. There is a delay from when I type till when the text appears in the text box.Also, I don't like have each field with a help box. I know I can X it out but it gets in the way when I want to go fast. I do like that it goes automatically from one field to the next such as with the dates.
2017-08-09
I am happy I have found your company. I appreciate your east steps to follow. I don't know if I am not understanding how to save each 1500 I complete as I need them to enter new dates as each week comes to bill.
2018-08-16
Easy to navigate and work with, I needed certian form that I was having trouble finding.
Lo and behold I checked PDFfiller and there they were. I was able to fill out the forms and use
them in my VA disability claim
2019-09-23
One time using pdfFiller the first time…
One time using pdfFiller the first time saved me time doing a very basic operation (checking off fields when I was entering information from forms into another program). I have used the other program for over 15 years but recently moved from a PC to MacBook Pro. The program for Mac is harder to use than the PC product. I have spent too much time and frustration with that program. After one use, I had to spend much less time with little frustration. I hope it continues as I using pdfFiller
2024-11-14
This little program is life-changing.
This little program is life-changing. Needing to continuously reproduce docs from old paperwork and (business) historical documents is insanely time consuming. Retyping, reformatting you name it. Sometimes OCR software doesn't cut it. With this program, I've cut my frustration time by 90%. My production time is a breeze. The remaining 10% is my learning curve, but I"m figuring out more as I go, and when stuck? Kara is in chat to figure it and me out. Done.
Well worth the subscription. Thank you!
2024-04-22
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The feature I like the most is we can easily export as it is integrated Google, Microsoft and many cloud storages. The text editing feature is awesome. Just Go for it ,your data is safer here
Font size editing and positioning the text is difficult at the beginning
2023-03-02
it's easy to fill out and send wherever you need to send any important documents
it was simple, and easy to send my documents to wherever they needed to be sent. Also the signature was perfect, I didn't need to print and sign anything, it was all here for me.
2022-12-23
pdfFiller is user-friendly and the site is easy to navigate. I love the fact that a function stays the same until you change it, eg. a font size and format. However, I would like the option to use all the Fonts that I have installed on my own computer. When a page is duplicated, I'd love it if the 'changes' made to the original using pdfFiller, could also be duplicated rather than simply a duplication of the original document. I also can't seem to find a way to cut and paste text to apply it in a different area of the document, which means that the process of replicating a change is more time-consuming, but this could be my current unfamiliarity with the software. I was impressed that within a couple of hours of use, I was offered the option to attend a webinar to improve my understanding.
2020-07-27
For pdfFiller’s FAQs
Below is a list of the most common customer questions. If you can’t find an answer to your question, please don’t hesitate to reach out to us.
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Which of the following are applications of text classification?
A few examples of concrete applications for text classification in business include for example: Classifying customer feedback based on its sentiment to positive, negative or neutral (sentiment analysis) Classifying customer questions according what product or which part of the product architecture the question regards.
What are the classification of text?
Text classification or Text Categorization is the activity of labeling natural language texts with relevant categories from a predefined set. In laymen terms, text classification is a process of extracting generic tags from unstructured text. These generic tags come from a set of pre-defined categories.
What is meant by text classification?
Text classification or Text Categorization is the activity of labeling natural language texts with relevant categories from a predefined set. In laymen terms, text classification is a process of extracting generic tags from unstructured text. These generic tags come from a set of pre-defined categories.
Which model is best for text classification?
Linear Support Vector Machine is widely regarded as one of the best text classification algorithms. We achieve a higher accuracy score of 79% which is 5% improvement over Naive Bayes.
How does text classification work?
It exclusively compares the input text with the training texts included in the model. In other words, when you train a model you associate each category to sample texts, so that when you enter a text to classify, the system will compare it with the examples and will determine which one is the nearest.
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.
What are the uses of classification?
Classification is a data-mining technique that assigns categories to a collection of data to aid in more accurate predictions and analysis. Classification is one of several methods intended to make the analysis of very large datasets effective.
What is the use of classification in a written text?
Text classification is the process of assigning tags or categories to text according to its content. It's one of the fundamental tasks in Natural Language Processing (NLP) with broad applications such as sentiment analysis, topic labeling, spam detection, and intent detection.
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