Topic Modelling Using LDA for Document Clustering | NLP KGPTalkie | Python

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In this video lecture, I will teach you how you can cluster text documents using topic modeling. I will use ktrain and python. Please like this video and subscribe to this channel for more videos.

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Amazing content. Could you please order the playlist ?

teetanrobotics
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Thank You for your good knowledge share, can u please suggest any LDA model that supports customized topic and and list of keywords ....for the given corpus

dhivyasubburaman
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Please you should make video on Bayesian knowledge tracing method.

absarahmed
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how do you validate the results in topic modelling, like a confidence score but for unsupervised learning?

monamyers
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How to insert legend for the generated clusters (see in 29:50). Any ideas?

muguromuguro
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plz provide code file, your website is showing error.

progamingcrew
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Can you please share the source code with us?

raneshmitra
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Actually your results were right, but you should have tried to get a label rather than the top keywords per cluster. The Israel one most like predicted correctly that is was in the middle east, just none of the keywords made it to the top. So for everything middle east it will always return the 'armenia turkey and so on', as these were just the top 10 words in your training. Israel and Gaza may have been number 11 and 12 during training, so they just don't show.

Wokoman