kk7nc / hdltex Goto Github PK

During the training of the HDLTex classification accuracy is printed after every epoch for Level 1 and Level2. But i think which is different from the evaluation procedure mentioned in the equation 21 of the paper and used for reporting the results in the paper. Can you please explain the equation 21 in more detail?

This happens when I sort the mete_data.xls:

Why do different "area"(child label) have the same "Y2/Y"(child index)?
And "Y2" misses 8, when "Y1" is 1.
Could you explain it for me?
Thanks.

Thank you very much for your paper and data set. However, the labels in the data set are all numerical results. I don't know if it is convenient to provide the relationship between the original label name and the index. Looking forward to your reply

""Epoch 00001: val_acc improved from -inf to 0.76482, saving model to weights\weights_DNN_0.hdf5
Error in model 0 try to re-generate another model
DNN 0
<keras.optimizers.Adagrad object at 0x7f3339451dd8>
Train on 7769 samples, validate on 3019 samples
Epoch 1/120
Segmentation fault (core dumped)""
this appear when i start to run any examples.
any solution Mr. Kamran

Hello! I've read your publication about HDLTex, and now I want to try it on my data.

Could you give me please examples of using HDLTex on WoS data?

And what should I do to get output data as:

text 1 - name of its subject category
text 2 - name of its subject category and etc

Thanks a lot for your answering

how it performs vs bert?

Is there a validation set for this paper?

Hello, I hope you see my issue, and I would get your opinion.

I think that you were supposed to use -TF-IDF for DNN, AND N-GRAMS?, you just use (CountVectorizer).

Why you use the function (clean_str) only for (loadData_Tokenizer) , and function (text_cleaner) only for (loadData), why your resn of differentiate thses cleaning data?

why you did not any validation your result?, you do not have y_predic?,

Hello,

Does HDLTex support multi label problem as well? I am trying to do Hierarchical multi label classification. I read your paper and found it very thoughtful. However I could not figure if HDLTex suports multilabel or not?

Hello,
I want to express my gratitude for providing both the paper and the dataset; they have been immensely valuable to my research.

As I delved further into the dataset, I came across an issue concerning the classification of the "Depression" area. It appears that this area is categorized under both "Medical" and "Psychology" parent categories.

Could you please clarify whether this dual categorization is intentional? I would greatly appreciate your insights on this matter.

Thank you once again for your assistance.