NLP-with-Python

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Hello @susanli2016. I'm really interested in the dataset you've used, specifically the ```corona_fake.csv``` dataset. I would like to know from where you got it or how you were able to...

sonaalPradeep

Hello, I want to know the publication place and date of this paper, because I want it as my reference

dragonzll

In [Toxic Comments LSTM GloVe](https://github.com/susanli2016/NLP-with-Python/blob/master/Toxic%20Comments%20LSTM%20GloVe.ipynb) ```python import pandas as pd ```

VolodymyrBiryuk

Error while training (InvalidArgumentError)

1

On running the code as it is on the provided data I get the following error : python: 3.7 tf: 1.15 keras: 2.3.1 InvalidArgumentError: Incompatible shapes: [21504] vs. [1024,21] [[{{node...

aastha19

I am running through the notebook as written on GitHub and the recommendation engine at the end of the notebook is giving me the same results as the beginning of...

warrenrross

When we are trying to figure out the max length of the reviews; `"len(min((X_train + X_test), key=len))))` instead of `"len(min((X_test + X_test), key=len))))"`

lastmaj

Newbie

6

Hello Susanli, I tried to use your code but I received this error: ``` AttributeError Traceback (most recent call last) in 211 212 # get all reviews for 'url' and...

LeoTRESPEUCH

It would max at 2 or 3 reviews and stop

1

removing the ::2 index allows the scrapper to find the 5 reviews then go to the next page. If you don't the script thinks it has found all reviews on...

kyle10n

Hello, I want to save the final concatenated model, so that I could predict new sentences using that.

Xraqen

About code

1

for idx, topic in lda_model_tfidf.print_topics(-1): print('Topic: {} Word: {}'.format(idx, topic)) whats the significance of -1 in first line...

psammy007