nateraw / Lda2vec-Tensorflow

Tensorflow 1.5 implementation of Chris Moody's Lda2vec, adapted from @meereeum
MIT License
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Getting same top 10 word for each iteration on 20-Newsgroup dataset #61

Closed durgeshbhagat closed 4 years ago

durgeshbhagat commented 4 years ago

While running the lda2vec on 20-Newsgroup downloaded from sklearn datasets, I am getting same top 10 word for each iteration.

Output : EPOCH: 2 time taken: 42.41943836212158, LOSS 4.823064 w2v 4.823064 lda 79421.92 ---------Closest 10 words to .............................given indexes---------- Topic 0 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, etc, addition Topic 1 : likewise, unfortunately, instance, furthermore, example, presumably, similarly, actually, etc, addition Topic 2 : likewise, instance, unfortunately, furthermore, example, presumably, similarly, actually, etc, addition Topic 3 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 4 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 5 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 6 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 7 : likewise, unfortunately, instance, furthermore, example, presumably, similarly, actually, etc, addition Topic 8 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 9 : likewise, unfortunately, instance, furthermore, example, presumably, similarly, actually, addition, etc Topic 10 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 11 : likewise, unfortunately, instance, furthermore, example, presumably, similarly, actually, etc, addition Topic 12 : likewise, unfortunately, instance, furthermore, example, presumably, similarly, actually, etc, addition Topic 13 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 14 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 15 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 16 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 17 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 18 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 19 : likewise, instance, unfortunately, furthermore, example, presumably, similarly, actually, etc, addition

Would highly appreciate any help on it?

Thanking You, Durgesh Kumar

dbl001 commented 4 years ago

Hi Durgesh,

The first 5 Epoch are for training the word vectors not the topic vectors (unless you changed):

Epoch that we want to "switch on" LDA loss

switch_loss_epoch = 5

Please try running for at least 25 Epochs (200 is recommended).

On Aug 10, 2019, at 4:19 AM, Durgesh Kumar notifications@github.com wrote:

While running the lda2vec on 20-Newsgroup downloaded from sklearn datasets, I am getting same top 10 word for each iteration.

Output : EPOCH: 2 time taken: 42.41943836212158, LOSS 4.823064 w2v 4.823064 lda 79421.92 ---------Closest 10 words to .............................given indexes---------- Topic 0 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, etc, addition Topic 1 : likewise, unfortunately, instance, furthermore, example, presumably, similarly, actually, etc, addition Topic 2 : likewise, instance, unfortunately, furthermore, example, presumably, similarly, actually, etc, addition Topic 3 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 4 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 5 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 6 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 7 : likewise, unfortunately, instance, furthermore, example, presumably, similarly, actually, etc, addition Topic 8 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 9 : likewise, unfortunately, instance, furthermore, example, presumably, similarly, actually, addition, etc Topic 10 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 11 : likewise, unfortunately, instance, furthermore, example, presumably, similarly, actually, etc, addition Topic 12 : likewise, unfortunately, instance, furthermore, example, presumably, similarly, actually, etc, addition Topic 13 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 14 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 15 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 16 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 17 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 18 : likewise, unfortunately, instance, furthermore, presumably, example, similarly, actually, supposedly, addition Topic 19 : likewise, instance, unfortunately, furthermore, example, presumably, similarly, actually, etc, addition

Would highly appreciate any help on it?

Thanking You, Durgesh Kumar

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