Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
We don’t allow questions seeking recommendations for books, tools, software libraries, and more. You can edit the question so it can be answered with facts and citations.
Closed 5 years ago.
Improve this question
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:
Related
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
We don’t allow questions seeking recommendations for books, tools, software libraries, and more. You can edit the question so it can be answered with facts and citations.
Closed 2 years ago.
Improve this question
Please share a link to a dataset that is effective for practicing NLP (Natural Language Processing).
I am beginner level and would like to improve my skills.
NLP is a very broad field, so if you want a specific dataset, you need to name a specific NLP problem (such as NER, sentiment analysis, summarization, etc.), and probably a specific language in which you want to solve this problem.
But still, there are places to look for NLP datasets and problems in general:
the NLP tag on Kaggle: https://www.kaggle.com/tags/nlp
a list of NLP datasets: https://github.com/niderhoff/nlp-datasets
a similar question on DS StackExchange: https://datascience.stackexchange.com/questions/6798/list-of-nlp-challenges
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
We don’t allow questions seeking recommendations for books, tools, software libraries, and more. You can edit the question so it can be answered with facts and citations.
Closed 3 years ago.
Improve this question
I am wondering is there any polish language or Slavic language model on the base of which I could build a new model with my training set?
There're a lot of pretrained embedders, like LASER from Facebook. There's unofficial pypi lib, but it works just fine. If you want to reach seminal-like scores, there's no point in doing this all by hand. Embedders usually covers dozens of languages, so you can feed training data in any language you want. Your models will also work for those language out-of-the-box, even if you trained them on other languages.
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
We don’t allow questions seeking recommendations for books, tools, software libraries, and more. You can edit the question so it can be answered with facts and citations.
Closed 4 years ago.
Improve this question
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...
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
We don’t allow questions seeking recommendations for books, tools, software libraries, and more. You can edit the question so it can be answered with facts and citations.
Closed 5 years ago.
Improve this question
I'm using Vader in Python to perform sentiment analysis. Is there a way to analyze different languages than English (I need French in this case)
If yes, how do I do it, or what do I need?
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
We don’t allow questions seeking recommendations for books, tools, software libraries, and more. You can edit the question so it can be answered with facts and citations.
Closed 5 years ago.
Improve this question
I need python library that can construct suffix trees and especially generalised suffix trees. Could you suggest me some libraries. Thanks.
See the following libraries.
suffixtree
Python-Suffix-Tree
SuffixTree
SuffixTree (same name different project, supports generalized suffix trees)
pysuffix (This is suffix arrays)