Which of the following statistics is NOT used for evaluating topic models:

Question

BlackTom AI · Accepted Answer

To evaluate topic models, researchers rely on several quantitative measures that reflect how well the model fits the data and how meaningful the topics are. 
Option 1: 'Log-likelihood score' — This is a foundational statistic in probabilistic topic models (like LDA) that measures how likely the observed data are under the model; higher log-likelihood generally indicates a better fit, so it is commonly used in evaluation and model selection. 
Option 2: 'Gini index' — The Gini index is a measure of inequality or sparsity often used in economics or in some machine learning contexts to quantify class imbalance, but it is not a standard metric for evaluating topic models. It does not directly assess topic coherence, coherence of word distributions within topics, or the fit of the model to the data, making it an inappropriate choice for this purpose. 
Option 3: 'Perplexity score' — Perplexity is a widely used statistical measure in language modeling and topic modeling that assesses how well a probability model predicts a sample; in topic modeling, lower perplexity indicates a better model fit, though it is sometimes criticized for not always aligning with human interpretability. 
Option 4: 'Topic coherence' — Topic coherence measures how semantically interpretable or coherent the top words in a topic are, which is a key qualitative criterion and is routinely used to evaluate and compare topic models against human judgment. 
In summary, while log-likelihood, perplexity, and topic coherence are standard evaluation tools in topic modeling, the Gini index is not typically employed for this purpose, making it the item that does not belong among the listed statistics.

Which of the following statistics is NOT used for evaluating topic models:Single choice

Similar Questions

A human-centric method for evaluating a topic model where a random word is included into a topic is called:

How can we evaluate the performance of a topic model? Choose one best answer:

Name the Supreme Court decision that removed financial constraints on PACs.

Political scientists Joshua Kalla and David Broockman find that senior policy makers made themselves available to _____ between three and four times more often than they did to constituents.

Name the political scientist who argues that parties are designed to serve the needs of ambitious politicians (namely candidates and officeholders).

Name the political scientist who said this famous quote about the problems of pluralism: “The flaw in the pluralist heaven is that the heavenly choir sings with a strong upper-class accent.”

What is the name of the third party candidate in 2000 who was not allowed to participate in the presidential debates? Hint: We watched a video clip with him in class.

E.E. Schattshneider said, "Democracy is ________ save in terms of the parties."

More Practical Tools for Students Powered by AI Study Helper

Homework AI Solver

Stylized AI Paper Writer

Plagiarism Checker Assistant

Citation AI Academic Writing Tool

In-Class Translation Assistant

AI Note Generator

AI Quiz Answers

Past Exam Questions from University Test Bank

Smart Practice Assistant

Adaptive Practice

Making Your Study Simpler