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What our customers say about pdfFiller
See for yourself by reading reviews on the most popular resources:
I was very upset that I wasn't told I'd have to pay until after I'd edited a very long file, but customer service gave me 30 days free when I brought this to their attention.
2014-05-18
I really appreciate your service. It's invaluable. I know that nothing is free. However, you do make it affordable--and that is much appreciated. :) Thanks.
2014-09-19
I had some trouble at first (yesterday), but support was able to help. Now things are going smoothly on my end. It still remains to see how my signers interact with PDF Filler.
2018-06-07
The site is a bit slow, and often will freeze during filling. Otherwise it is well worth the $72.00 I paid although it was supposed to be a free trial for 30 days.
2018-10-08
This software is absolutely amazing and easy to use. I would highly recommend this product to anyone who works with PDF forms on a daily basis, as it simplifies the process of typing on a PDF document.
2019-09-17
Convenient and easy tool!
I've used pdfFiller since 2016. Easy to use, and has been great for converting, editing and merging documents and forms. I love that unlike programs like Adobe Acrobat I can access and use pdfFiller from anywhere. It has been convenient for work and home use. Had to convert and digitally sign legal documents from Word to PDF today and no one involved had any suitable programs, but I had the solution with pdfFiller!
2024-06-24
It's been a nice use-friendly experience overall. I like the way pdf found elsewhere could be easily pulled into (uploaded) the program without a glitch. And I really that all my documents are saved into the same system even those docs complete a few years back. I was pleasantly surprised. I would like to continue learning more about all the features your platform is offering. Especially the signing and sending of docs to others. I sincerely sense these is going to be my 'go-to' platform for many of my pdf needs. I need to keep on top & keep up ;).
2023-03-16
I was looking for a PDF system that I ciud use to fill out and sign documents that I could across platforms. This PDF FIller seems like the best and most reasonably priced app.
2021-02-11
What do you like best?
Easy tools to edit and send email/fax is a breeze
What do you dislike?
Download forms from third party is not useful with provider business names.
Recommendations to others considering the product:
Good for business especially with email and fax service is free.
What problems are you solving with the product? What benefits have you realized?
Leases, company business editing.
2020-11-05
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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What is data Labelling and classification?
The way I view it: 'Classification' (in the context of machine learning) is a type of problem in which you assign a 'label' to an object. Formally, 'Classification' is a type of problem whereas labeling is a function from an object to a set of labels (maybe infinite).
What does data Labelling mean?
Data labeling, in the context of machine learning, is the process of detecting and tagging data samples. The process can be manual but is usually performed or assisted by software.
What is meant by labeled data?
Labeled data is a designation for pieces of data that have been tagged with one or more labels identifying certain properties or characteristics, or classifications or contained objects. Labels make that data specifically useful in certain types of machine learning known as supervised machine learning setups.
What is data Labelling in machine learning?
Data labeling is the manual curation of data by humans on machine learning and AI applications. Roughly we call it supervised machine learning because computers need human supervision to get trained to execute tasks that are tricky for machines, but definitely easy for humans such as image recognition.
What does Labelling people mean?
Labelling or using a label is describing someone or something in a word or short phrase. For example, describing someone who has broken a law as a criminal. Labelling theory is a theory in sociology which ascribes labelling of people to control and identification of deviant behavior.
How do you label data for sentiment analysis?
So, the second rule of thumb for labelling text is to label the easiest examples first. The obvious positive/negative examples should be labelled as soon as possible, and the hardest ones should be left to the end, when you have a better comprehension of the problem.
Which algorithm is used in sentiment analysis?
Sentiment analysis is the similar technology used to detect the sentiments of the customers and there are multiple algorithms can be used to build such applications for sentiment analysis. As per the developers and ML experts SVM, Naive Bayes and maximum entropy are best supervised machine learning algorithms.
What is sentiment analysis algorithm?
Benchmarking Sentiment Analysis Algorithms (Algorithmic) Sentiment Analysis, also known as opinion mining, is a powerful tool you can use to build smarter products. It's a natural language processing algorithm that gives you a general idea about the positive, neutral, and negative sentiment of texts.
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