I have installed flair library via the following command but when i tries to import it, it will generate error like “ModuleNotFoundError: No module named ‘flair'” Code: Answer install via the following command make sure you use –user option otherwise you will get a permission error in windows 10. after install flair you have to restart kernel in jupyter notebook
Tag: nlp
I have a data type problem in the text classification problem
I want to build deep learning classifiers for Kickstarter campaign prediction. I have a problem with the part of the model but I can not solve this. My code: In this point, I am getting ValueError: Failed to find data adapter that can handle input: <class ‘scipy.sparse.csr.csr_matrix’>, (<class ‘list’> containing values of types {“<class ‘str’>”}) I try np.asarray for solving
Where to find a Seq2SeqTrainer to import into project?
Like the title says, I require a Seq2SeqTrainer for my project, but the file/s on Github are not available and return a 404. I use this code to try and import it: If it’s no longer available anywhere, what would be a good alternative as I want to use ROUGE as well. Answer I eventually found a solution. The file
How do I read the following lines of code?
Apologies for the basic question as I am quite new to the topic. Can you please break the code above in the format given below: Answer I think it is better for you to look up the following subjects: List comprehensions – link zip() function – link This will give you a better understanding of what is happening and it
Name Entity Recognition (NER) for multiple languages
I am writing some code to perform Named Entity Recognition (NER), which is coming along quite nicely for English texts. However, I would like to be able to apply NER to any language. To do this, I would like to 1) identify the language of a text, and then 2) apply the NER for the identified language. For step 2,
SpaCy NLP- Detect the verb form
As far as I know that we can get the v1 form of a verb using I wanted to know is their a way in which we can get the form of the verb like: swims it should output v4 Is their way to do that using SpaCy or any other lib and if there is then please give a
is my code okay to execute “if a list has a certain word, remove the elements coming after that?”
I’m trying to write a code to remove all the words coming after a certain word from a set of words as below. I tested out but since I’m quite new to python I’m not sure if this code might cause a problem. Can anyone review this code and point any possible risk from using this code? I tested with
spacy matcher returns right answer when two words are set as seperate ‘TEXT’ conditional object only. Why is it?
I’m trying to set a matcher finding word ‘iPhone X’. The sample code says I should follow below. I tried another approach by putting like below. Why is the second approach not working? I assumed if I put the two word ‘iPhone’ and ‘X’ together, it might work as the same way cause it regard the word with space in
SpaCy can’t find table(s) lexeme_norm for language ‘en’ in spacy-lookups-data
I am trying to train a text categorization pipe in SpaCy: However, every time I call nlp.begin_training(), I get the error Running python3 -m spacy validate returns Furthermore, I have tried installing spacy-lookups-data without success. How can I resolve this error? Answer It isn’t allowed to call nlp.begin_training() on pretrained models. If you want to train a new model, just
PDF reading, returning empty rows
I have a function to read PDF as below: it is working fine on a normal PDF file (like books) I am able to extract the texts easily, but when I tried it at work on “meeting minutes” I got only empty lines like below: Very sorry that I can not share the original PDF however here is a picture