Natural Language Processing Engineer Question:

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What is the right order for a text classification model components

Text cleaning
Text annotation
Gradient descent
Model tuning
Text to predictors
A) 12345
B) 13425
C) 12534
D) 13452

Natural Language Processing Engineer Interview Question
Natural Language Processing Engineer Interview Question

Answer:

C) 12534

A right text classification model contains – cleaning of text to remove noise, annotation to create more features, converting text-based features into predictors, learning a model using gradient descent and finally tuning a model.

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In Latent Dirichlet Allocation model for text classification purposes, what does alpha and beta hyperparameter represent-

A) Alpha: number of topics within documents, beta: number of terms within topics False
B) Alpha: density of terms generated within topics, beta: density of topics generated within terms False
C) Alpha: number of topics within documents, beta: number of terms within topics False
D) Alpha: density of topics generated within documents, beta: density of terms generated within topics True		Social Media platforms are the most intuitive form of text data. You are given a corpus of complete social media data of tweets. How can you create a model that suggests the hashtags?

A) Perform Topic Models to obtain most significant words of the corpus
B) Train a Bag of Ngrams model to capture top n-grams – words and their combinations
C) Train a word2vector model to learn repeating contexts in the sentences
D) All of these