Hi sir, after a long time thanks for uploading video on You Tube, I was thinking that you won't be active on you tube now. You are my favorite teacher your content have helped me a lot.
I always learned a lot from your videos! Do you think you can make a video to talk about how skip-gram can be used to predict the context for a given target word? Thanks a lot!
Happy New Year @KGPTalkie, Very helpful and great content sir. Is there any other reason why the accuracy level would stop at 65% despite using the exact same code and dataset? I have tried to change the DIM and units but 65% is the best accuracy level I am getting with an average loss ratio of 65% as well. Kindly assist. Thanks
Sir, I want to ask you a question: Why did you combine the title with the text? Isn’t it enough to rely on the text only and erase the title? How does the title effect the identification of real and fake news?
Great work 👏 . I have question . If we don't use vec2wrd and we make trainable = true ( in embedding layer) for generating word embeddings , is this right ? Thank you
Very informative one. Do you have any video where you performed tuning the keras LSTM parameter for text classification task. Please share the vid link. Thank you.
Thanks for uploading video after long time sir, please provide the link for full code in blog. I've opened the link mentioned in the description but I'm not able to find the full code
@@bhumivyas7233 You can increase or decrease LSTM layers. and you can also change the embedding dim. these are part of hyperparameter optimization. like model.add(LSTM(units=64)) or model.add(LSTM(units=256)) etc
The cell in Google colab is not running. I have implemented according to the steps and also haven't got any error, but the cell is not running last line model.fit(X_train,y_train, validation_split=0.3,epochs=10) It shows message previous execution ended unsuccessfully Executed at unknown time I also restarted and run all the cells, checked every bit of code,but still this problem is happening.
@@KGPTalkie yes I follow the same code unfortunately I have got 53% accuracy. Using Jupyter Notebook. Please help me. I will be grateful to you so much
Sir, am stuck @ w2v_model = gensim.models.word2vec(sentences =×, size=DIM, windows =10) Error is. "Module object is not callable" Can you please help me out. Please Or please provide any of contact
Hi sir, after a long time thanks for uploading video on You Tube, I was thinking that you won't be active on you tube now. You are my favorite teacher your content have helped me a lot.
Thanks.
Great content. Thank you. Do we need to handle imbalanced data before training the model ?
I always learned a lot from your videos! Do you think you can make a video to talk about how skip-gram can be used to predict the context for a given target word? Thanks a lot!
Happy New Year @KGPTalkie, Very helpful and great content sir. Is there any other reason why the accuracy level would stop at 65% despite using the exact same code and dataset? I have tried to change the DIM and units but 65% is the best accuracy level I am getting with an average loss ratio of 65% as well. Kindly assist. Thanks
Sir, I want to ask you a question: Why did you combine the title with the text? Isn’t it enough to rely on the text only and erase the title?
How does the title effect the identification of real and fake news?
print(w2v_model.wv)
KeyedVectors
But u have 231911 length
Do you know what problem can that be?
which algorithm are you using in this tutorial?
Great work 👏 . I have question . If we don't use vec2wrd and we make trainable = true ( in embedding layer) for generating word embeddings , is this right ? Thank you
how does your model predict that covid news to be true when your dataset has no such data?
Ofc a trained ml model can predict it. Thats the whole goal, i.e to predict on unseen data
Very informative one. Do you have any video where you performed tuning the keras LSTM parameter for text classification task. Please share the vid link. Thank you.
Please make a video how to deploy it as api to use in frontend .
Thanks for uploading video after long time sir, please provide the link for full code in blog. I've opened the link mentioned in the description but I'm not able to find the full code
Your explanation is very good.I also tried this. But I got same output for all input. I don't know how to fix this problem.plz help me sir
Great content bro it detects real time news ...
sir please make a video where you are makeing an website and deplyoning the project
facing keyerrors, namely u.s is not found in dictionary
Please make a video on multivariate Lstm model
this dataset can predict any covid news ?
Please teach how to make frontend for this model
Thank you for the great content. Greetings from Brazil.
After a long time I saw you,how was your Holidays and what happened to your camera lens ?
Thank you so much for your love. I am good. I hope you are also. After lots of struggle finally they had to refund. Thanks a lot for your support.
@@KGPTalkie that's a good news Flipkart refunded😁😁
Be safe be healthy because of second wave of covid19 in india:)
Thank you
is this word2vec follow cbow method or skip gram???
can you share that colab file so that we can refer
Can you tell how to attach this model in flask WEBAPP ?
Please upload more on natural language processing
understood almost everything but can anyone answer one doubt that is why did we used weight_matrix as np.zeroes was it necessary to create..
To avoid dynamic memory allocation. I created it with zeros before it's actual use.
@@KGPTalkie thanks alot...
Sir plz make a vd on multilabel news classification using nlp and deep learning
Already have one. Please see in nlp playlist
I am getting accuracy between 59-65% for the same code followed, what should be done to increase the accuracy?
you can change last units and layers
@@KGPTalkie What should i change in layers?
@@bhumivyas7233 You can increase or decrease LSTM layers. and you can also change the embedding dim. these are part of hyperparameter optimization.
like model.add(LSTM(units=64)) or model.add(LSTM(units=256)) etc
@@LaxmiKantTiwarilaxmimerit I am not getting how to do what you are telling, please help.
Please help
Sir !pip install spacy==2.2.3
Is not installing in my laptop please help me with it
isnt the model overfitting?
model.fit(X_train,y_train,validation_split=0.3,epochs=6) from that line it takes more time and it is disconnected and reconnecting again sir
i have the same problem did u find a solution ?
The cell in Google colab is not running. I have implemented according to the steps and also haven't got any error, but the cell is not running last line
model.fit(X_train,y_train, validation_split=0.3,epochs=10)
It shows message previous execution ended unsuccessfully
Executed at unknown time
I also restarted and run all the cells, checked every bit of code,but still this problem is happening.
I have the same problem did u find a solution for this problem
You need to be connected to the GPU.
Iam using Jupyter notebook..if I do in collab will the error stop
thanks for the lecture sir , if you provide the source code link that could be very helpful to tweak and learn
Did flipkart helped sir? very nice project
Flipkart didn't but you guys have helped me a lot.
Great video man :) thanks
why did u take the character limit to be less than 120? Twitter character limit previously was 140 and now its 280
Sir !pip install spacy==2.2.3
Sir !pip install spacy== 2.2.3
Is not installing is giving error please help me sir
i am getting error
tokenizer = Tokenizer()
tokenizer.fit_on_texts(X)
method object is not iteratable
Can you tell me the version of tensorflow , numpy and python that you are using for running this model..
Use Google CoLab. There it was tensorflow 2.4
Really useful!
Where can we get the source code?
Thank you!
Please follow the video lecture.
@@KGPTalkie okay
Thank you
@hisenberg white did you done the code?
@@shantosadman1122 what do you mean?
How can we hide the backend code since when user tries to find the fake vs real news then he should see only the gui and the code should be hidedm
Can't find the blog in the website please give the link
Same problem 😅
@@himanshukumar-kb3vr 😂🙏
sir im unable to install wordcloud in jupyter notebook. anconda
I tried to code this But I can't able to train this in colab due to less memory how to proceed this
sir the dataset files are not downloadable? And from we get the source code of this model?
Hi sir can we create GUI for this?
How can i get the code asap
Bro why I have this notimplementederror: saying cannot convert a symbolic Tensor(lstm_1/strided_slice:0) to a numpy array.
where should i get source code
Bro I have not implemented error in model.add(LSTM (unit=128))..please help
Please share the CSV files , i searched both the given website and your github there is no csv file for fake and real dataset,
github.com/laxmimerit/fake-real-news-dataset
@@KGPTalkie where can I get your code?
Can we run this on Jupyter Notebook?
Yes
@@KGPTalkie l have implemented this code unfortunately I have got the 53% accuracy.could you plz help me to get a high accuracy like the video.
Did you follow code as shown in video and using same data?
@@KGPTalkie yes I follow the same code unfortunately I have got 53% accuracy. Using Jupyter Notebook. Please help me. I will be grateful to you so much
please share your notebook to udemy@kgptalkie.com
model.fit(X_train,y_train,validation_split=0.3,epochs=6) i m getting errror here
Me too. Did u find any solution?
Thanks lord god bless you!
Thank you too!
are you intentionally not providing the code ?
hello sir could you share the code on my mail ...your blog page is not opening
1:13:41 at assigning the weights, I get an error: “word ‘u.s.’ not in vocabulary”
Can you please help me?
Iam getting same type of error. Did u find any solution?
Sir, am stuck @
w2v_model = gensim.models.word2vec(sentences =×, size=DIM, windows =10)
Error is.
"Module object is not callable"
Can you please help me out. Please
Or please provide any of contact
replace word2vec with Word2Vec
Sir code link doesn't work
Where's the code sir?
Code ?
Does anyone have the source code of this?
39:00 you didn't explaind the reason :(
At 1:14:54
This error is coming "KeyError: "word 'ifax' not in vocabulary"
Please help me solve this error.
Thank you
for word, i in vocab.items():
try: weight_matrix[i] = model.wv[word]
except: print(word, 'not found')
hey can u plss tell me, did u find solution
Iam getting same type of error. Did u find any solution?
1:15:31
after 1:00:00, you didn't explained the code properly.
you didnt have proper data set to test how good is your model in real life. once sentence is not enough.
Can I use anaconda rather than Google collab
Yes