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Overall very handy. I did have a glitch in printing. When I hit Print Again, it made the page smaller and off center. This happened each time I hit Print Again on the CMS 1500 form, requiring me to go back and start from Print after each edit.
2024-07-23
It was fast, easy and extremely self explanatory. I actually signed up for it because it was worth it. I recommend it to anyone who needs access to documents quickly. There was also a plethora of different forms to choose from.
2023-07-16
I love that they are there to help and…
I love that they are there to help and support you in times of need. Kara was a great help to me today and was able to fix my problem expeditiously.
2023-07-04
Disappointed. I thought I had until the end of today to cancel the trial but got charged over $100 for using the service just to get matching employer funds for a donation.
2022-12-13
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2022-07-16
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2022-05-05
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2021-07-24
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2020-11-26
listen I appreciate your services and recommend it...
listen I appreciate your services and recommend it to anyone based on their ability to process a financial authorization and so I didn't want PDF-filler to be discouraged but I'm sensitive to express I have to revisit your advisory environment some time after the year is up!
2020-05-01
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?
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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:
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