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Often on the Internet I saw such images and now I am interested in the implementation of this algorithm. The input is a template and a set of words, on the basis of which the image is drawn, the more often the word is used the more space it takes. As far as I know there is already a library for python that allows you to generate such images. Could you tell me which one?
Word cloud allows you to do this, and using its masks features should allow you to shape them: https://github.com/amueller/word_cloud would give you more information on how this can be done.
The above image is constructed using wordCloud!. Here you can find a tutorial on python.
I hope this helps...
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Are there specific python libraries which we can use to generate audio files?
What is the noise that we provide in this case
Which external libraries are useful
Basic Research
Got to know that we have to use vectors to generate audio signals rather than tensors in case of images
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I am doing a dissertation on data visualization of land prices in Tanzania.
My intendants want me to use a GIS software to map the data on a map and use python code to visualize it.
My question is how can i use python to draw the maps ?
If you want to perform data visualisation, you can use the python library called matplotlib
To perform the mapping of data on geographical maps using matplotlib, here are the examples which helps you to get started.
I hope this helps you.
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Given text documents (student essays with about 100 words per essay) I want to extract entities and relationships important to the context of the sentence (maybe by considering Noun Phrase and Verb Phrase) to automatically score the answer.
Are there any popular algorithms/tools that I can use to perform this task?
It would be helpful if you could be more specific, but in general this problem is known as Information Extraction. One example software package that deals with it is Standford NLP's open information extraction system. Example use:
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I am trying to perform test summarize using self organizing map (SOM) as the clustering model. Do we have any libraries for performing SOM in python.
There is one here, but in general SOM implementations are not part of the main machine learning libraries. There are two reasons
SOM's, although nice to look at, don't really perform well in real problems.
It is too easy to construct one by yourself.
I would suggest to make it yourself. It is very easy and a great way to introduce yourself to python. The main code of the SOM itself is about 3 lines (a loop and one update). The remaing of the code would be for loading the data and plotting them, but you won't avoid that part of the code by using an external library
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Simply stated, I have to match images based on similarities. So if two images of different size happen to be the same, or if they differ only by watermark, they can be matched as the same.
I know python must have at least a starting implementation of this, but I cannot seem to find it. What would this be called in python-ese or imaging science?
You can try OpenCV which has a Python interface.
See this question for using OpenCV to do image matching:
Checking images for similarity with OpenCV.