Fake News Detection using LSTM in Tensorflow and Python

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I will show you how to do fake news detection in python using LSTM. LSTM is a deep learning method to train ML model. I will be also using here gensim python package to generate word2vec matrix. This method is 99% accurate as shown in this video lecture. Please like and subscribe this channel.

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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.

GAURAVKUMAR-bcvd

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!

test-qkql

Great content. Thank you. Do we need to handle imbalanced data before training the model ?

vidulakamat

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

bharatchandra

Great content bro it detects real time news ...

MRAHNO-ulyf

Thank you for the great content. Greetings from Brazil.

neto

Please make a video on multivariate Lstm model

mihirbhawsar

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?

youssefelagdah

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.

piyushvyas

sir please make a video where you are makeing an website and deplyoning the project

zavier

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

kenmwangi

Please teach how to make frontend for this model

rabiafaheem

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

roseliemrollno-

Please upload more on natural language processing

amitdutta

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

yasirabdulkareem

print(w2v_model.wv)
KeyedVectors<vector_size=100, 230 keys>
But u have 231911 length
Do you know what problem can that be?

ВасилийНоженькин

can you share that colab file so that we can refer

mohansai

this dataset can predict any covid news ?

abdelrahmanhegazy

Please make a video how to deploy it as api to use in frontend .

shadwar

why did u take the character limit to be less than 120? Twitter character limit previously was 140 and now its 280

arushigupta

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