PdfPig
NLTK
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PdfPig | NLTK | |
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7 | 64 | |
1,462 | 13,035 | |
4.9% | 1.6% | |
9.1 | 8.1 | |
9 days ago | 12 days ago | |
C# | Python | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
PdfPig
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Just Say No
Maybe (most likely) this is a problem of GitHub's terminology. For genuine bugs, e.g. here's the repro, the stack trace, the code to replicate it, it happens 100% of the time if you follow these steps, I'd agree that just having it open and in the backlog would be preferable.
The problem is those make up maybe at a generous estimate, 10-15% of issues in a projects backlog. In the interests of full disclosure here's mine (I don't use stalebot) https://github.com/UglyToad/PdfPig/issues?page=1&q=is%3Aissu.... As you can see from the backlog I close almost nothing. This was a deliberate choice to avoid closing things until the fix was confirmed by the reporter.
But equally that's the first time I've opened the repository in a couple of months and the amount of angst and dread I feel just from the size of that list means I'll probably find yet another excuse not to do anything on it this coming month.
Discussions on this topic feel a lot like "technical solutions to social problems"; by which I mean "well in the ideal world a perfectly logical person would do x, y, z so the system should reflect that". And while a stalebot is the archetypal technical solution to a social problem it at least works with how maintainers work. Sometimes in life you want to ignore a problem and have it go away. When you can't do that, e.g. government bureaucracy, work stuff, social obligations, that's where stress comes from. And asking volunteer maintainers to add a whole new source of stress in their life falls apart when people get busy, or their life circumstances change, or they get ill or tired or whatever.
Yes, in a perfect world the issue backlog would be sacrosanct and perfectly groomed/prioritized. But we're just fleshy sacks of chemicals and we're not perfect. Unrealistic expectations from users are the cause of maintainer burnout.
Because GitHub closed issues are still viewable and searchable (I'd guess most people search it through a search engine not the terrible inbuilt search) I'd disagree that they're deceiving users somehow.
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There is framework for everything.
What about PdfPig? It's under Apache 2.0.
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Extract Text from PDF file Blazor
You could try PdfPig. https://uglytoad.github.io/PdfPig/ I've used it for some small tasks and found it very useful. If you want to handle scanned pdfs you would need to use OCR instead.
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How to read pdf files in C#?
PDF Pig is open source and allows you to read text and even extract images.
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Add, Remove, Extract and Replace Images in PDF using C#
https://uglytoad.github.io/PdfPig/ https://github.com/empira/PDFsharp
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Are there any good PDF generation libraries with no paid licensing?
Example of document creation API here https://github.com/UglyToad/PdfPig#document-creation-005 and wiki with more details here https://github.com/UglyToad/PdfPig/wiki/Document-Creation
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Generating a Report and exporting it as an PDF
Example with PDFpig https://github.com/UglyToad/PdfPig/blob/master/examples/GeneratePdfA2AFile.cs
NLTK
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Building a local AI smart Home Assistant
alternatively, could we not simply split by common characters such as newlines and periods, to split it within sentences? it would be fragile with special handling required for numbers with decimal points and probably various other edge cases, though.
there are also Python libraries meant for natural language parsing[0] that could do that task for us. I even see examples on stack overflow[1] that simply split text into sentences.
[0]: https://www.nltk.org/
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Sorry if this is a dumb question but is the main idea behind LLMs to output text based on user input?
Check out https://www.nltk.org/ and work through it, it'll give you a foundational understanding of how all this works, but very basically it's just a fancy auto-complete.
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Best Portfolio Projects for Data Science
NLTK Documentation
- Where to start learning NLP ?
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Is there a programmatic way to check if two strings are paraphrased?
If this is True, then you need also Natural Language Toolkit to process the words.
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[CROSS-POST] What programming language should I learn for corpus linguistics?
In that case, you should definitely have a look at Python's nltk library which stands for Natural Language Toolkit. They have a rich corpus collection for all kinds of specialized things like grammars, taggers, chunkers, etc.
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Transition to ml, starting with LLM
If not, start with Python's Natural Language Toolkit.
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Learning resources for NLP
Try https://www.nltk.org it runs you through the basics. The book is here
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Which programming language should I learn for NLP and computational linguistics?
In terms of programming languages, Python is a great first programming language. the learnpython subreddit has lots of good recommendations for resources to get started. Once you're comfortable with the language, NLTK would be a good place to start, and the docs have heaps of examples. Check it out https://www.nltk.org/
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Python for stock analysis?
The most popular library to do this is NLTK though I believe you can use some of the popular AI API services today as well. Bloomberg launched one.
What are some alternatives?
ITextSharp - [DEPRECATED] .NET port of the iText library, only security fixes will be added — please use iText for .NET
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
PDFsharp - PDFsharp and MigraDoc Foundation for .NET 6 and .NET Framework
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
Docotic.Pdf - Docotic.Pdf library can create, edit, draw and print PDF files in .NET Core, ASP.NET, Windows Forms, WPF, Xamarin, Blazor, Unity, and HoloLense applications. The library is a 100% managed assembly without unsafe blocks. The assembly has no external dependencies.
bert - TensorFlow code and pre-trained models for BERT
docnet - DocNET is as fast PDF editing and reading library for modern .NET applications
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Pdfium.Net SDK
polyglot - Multilingual text (NLP) processing toolkit
iTextSharp (LGPL / MPL) 4.1.6 for .NET Core - Unofficial .NET Core port of iTextSharp 4.1.6. Last version to be released under the Mozilla Public License and the LGPL.
PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)