Given the formula to calculate the perplexity of a bigram (and probability with add-1 smoothing), Probability How does one proceed when one of th ...
Given the formula to calculate the perplexity of a bigram (and probability with add-1 smoothing), Probability How does one proceed when one of th ...
I am doing project about LDA topic modelling, i used gensim (python) to do that. I read some references and it said that to get the best model topic t ...
I see some github comments saying the output of the model() call's loss is in the form of perplexity: https://github.com/huggingface/transformers/issu ...
I've made a LDA topic model in R, using the textmineR package, it looks as follows. The questions are then: 1. Which function should i apply to get ...
I've got this data processing: I know there are a lot of questions like this, but I haven't been able to exactly find the answer to my situation. A ...
I'm doing dialect text classification with scikit learn, naive bayes and countvectorizer. So far I'm only doing 3 dialects text classification. I'm go ...
In a computer assignment, it's requested to implement word2vec algorithm to generate dense vectors for some words using a neural network. I implemente ...
I am topic modelling Harvard Library book title and subjects. I use Gensim Mallet Wrapper to model with Mallet's LDA. When I try to get Coherence and ...
I'd like to evaluate my model with Perplexity after each training epoch. I'm using Keras with Tensorflow backend. The problem is, that after each eval ...
I created a language model with Keras LSTM and now I want to assess wether it's good so I want to calculate perplexity. What is the best way to calc ...
I am trying to evaluate the topic modeling(LDA). Getting a error while execting perplexity function as: Error in (function (classes, fdef, mtable) : u ...
I perform an LDA topic model in R on a collection of 200+ documents (65k words total). The documents have been preprocessed and are stored in the docu ...
So for building language models, less frequent words ranked beyond vocabulary size are replaced as 'UNK'. My question is, how to evaluate such langu ...
I try to find the optimal number of topics using LDA model of sklearn. To do this I calculate perplexity by referring code on https://gist.github.com/ ...
In Tensorflow, I'm getting outputs like 0.602129 or 0.663941. It appears that values closer to 0 imply a better model, but it seems like perplexity is ...
I am trying to determine the optimum number of topics for my LDA model using log perplexity in python. That is, I am graphing the log perplexity for a ...
I am training a conversational agent using LSTM and tensorflow's translation model. I use batchwise training, resulting in a significant drop in the t ...
I have two question on Tensorflow PTB RNN tutorial code ptb_word_lm.py. Code blocks below are from the code. Is it okay to reset state for every b ...
Let's say we build a model on this: From the perplexity formula (https://web.stanford.edu/class/cs124/lec/languagemodeling.pdf) Applying the sum ...