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I'm going with the default you had.
"Works exactly as expected. Smooth, responsive, and intuitive interface."
That about sums it up. It was so obvious on how to edit text, increase it's size, move it around (great feature!), add checkmarks and Xs.
All around just very good.
2016-02-18
It was easy enough to use the first time I tried. I was able to fill out my 1099's within a couple hours and file them with the IRS. It was so simple! I appreciate your service.
2018-02-07
Still learning my way around. While it is helpful, it is not the most intuitive interface. Not bad, but could be a bit smoother and easier to navigate around.
2018-04-26
The application is good and offers…
The application is good and offers trials time but charged your money straight away, luckily the support said the money will be refunded back into my bank account.
2022-03-31
Ryan was extremely patient and persistent to solve the issue
Ryan was beyond patient with me to solve my issue. I really felt like he was determined to have me understand the instructions he was giving me towards the solution. He used a few of approaches. One of which was sending me a visual with arrows.....That worked!!!! His patience and persistence is refreshing and truly appreciated.
2021-10-13
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The product is great and very easy to use. I had started a free trial for one time use, but forgot to cancel it and was charged for a full year, but when I contacted them they refunded my money straight away with no questions asked. I wish all companies were as good to deal with as this!
2021-03-04
I am a relatively new user to pdffiller, but have found the platform user friendly and does exactly what I need it to. Helping me modernise a lot of statutory requirements for e-signatures and template creations.
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2020-09-25
I signed up to help with a real estate…
I signed up to help with a real estate contract. I was able to complete the form and email the document. It took me a little while to figure it all out but once I did it went smoothly.
2020-09-09
I had an issue with the automatic renewal of my subscription smack in the middle of the COVID-19 pandemic. I have already been in quarantine for the past 4 weeks and cannot use the services of PDFfiller.
I got in touch with the company and I immediately received a response from Anna who refunded the draft and cancelled my subscription.
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2020-04-28
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 feature classification?
What is Feature Classification. 1. A pattern recognition technique that is used to categorize a huge number of data into different classes. Learn more in: General Perspectives on Electromyography Signal Features and Classifiers Used for Control of Human Arm Prosthetics.
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.
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