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What our customers say about pdfFiller
See for yourself by reading reviews on the most popular resources:
The learning curve is fairly easy and short. Still learning features as I go. I use the program every two weeks and generate four documents each time. I've been able to look up every document that I have needed and able to open and edit and print. There are occasions that he document will cut off part of the header or will not allign the text correctly. However, that's about 3% (or less) of the time.
2016-03-17
First time user who is definitely enjoying the ease of completing PDF documents without the troublesome steps to convert to a word or similar document for editing.
2016-09-06
I love PDF filler. I was delighted that I was able to import a form from my email to PDF Filler as the form was not listed as available on your program. Very easy to use. t
2017-04-07
Slick tool. Nice editing capabilities. Some of the menus are confusing - for example: finding where to update an existing link to fill document is challenging.
2019-02-27
What do you like best?
We have been using PDF filler since 2015 I believe. We love it! Its very user friendly and affordable.
What do you dislike?
The customization when sending e-signature documents is very limited.
Recommendations to others considering the product:
Go for it. Very easy to use and more affordable the other comparable solutions.
What problems are you solving with the product? What benefits have you realized?
great way to get documents signed digitally
We have been using PDF filler since 2015 I believe. We love it! Its very user friendly and affordable.
What do you dislike?
The customization when sending e-signature documents is very limited.
Recommendations to others considering the product:
Go for it. Very easy to use and more affordable the other comparable solutions.
What problems are you solving with the product? What benefits have you realized?
great way to get documents signed digitally
2019-05-28
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
great for data control
I've only started using the program and so far it is doing what I want - merging my weekly quizzes together so I can show parents (when it comes time) all of their abilities rather than just the top 3
2023-03-19
THE BEST SUPPORT TEAM I'VE EVER FOUND
It is honestly the best and most complete pdf program with all the features. It's fast, intuitive, and their support team is absolutely prompt and efficient. I thought I had to wait like with other programs and help on the Internet, but nothing could be further from the truth: in less than two hours my problem is solved. I am very happy with them.
2022-12-12
Love the features and tools
Pdf filler has been a great tool for me. I often use to complete documents and send them for my disable uncle.
As a software engineer myself, I'm always amazed at some of the cool feature's and tools..
-Mike G from Florida
2022-08-29
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.
What if I have more questions?
Contact Support
How do you classify text?
Create a new text classifier: Go to the dashboard, then click Create a Model, and choose Classifier: Upload training data: Next, you'll need to upload the data that you want to use as examples for training your model. Define the tags for your model: Tag data to train the classifier:
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.
How can I improve my text classification?
Broke the documents in list of words. Removed stop words, punctuations. Performed stemming. Replaced numerical values with '#sum#' to reduce vocabulary size. Transformed the documents into TF-IDF vectors.
How do you text a classification?
Create a new text classifier: Go to the dashboard, then click Create a Model, and choose Classifier: Upload training data: Next, you'll need to upload the data that you want to use as examples for training your model. Define the tags for your model: Tag data to train the classifier:
Video Review on How to Classify Recommended Field Text
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